What is tail call optimization

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Very simply  what is tail-call optimization   More specifically  what are some small code snippets where it could be applied  and where not  with an explanation of why

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Look here   http   tratt net laurie tech articles articles tail call optimization  As you probably know  recursive function calls can wreak havoc on a stack  it is easy to quickly run out of stack space  Tail call optimization is way by which you can create a recursive style algorithm that uses constant stack space  therefore it does not grow and grow and you get stack errors

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The recursive function approach has a problem  It builds up a call stack of size O n   which makes our total memory cost O n   This makes it vulnerable to a stack overflow error  where the call stack gets too big and runs out of space   Tail call optimization  TCO  scheme  Where it can optimize recursive functions to avoid building up a tall call stack and hence saves the memory cost   There are many languages who are doing TCO like  JavaScript  Ruby and few C  whereas Python and Java do not do TCO   JavaScript language has confirmed using      http   2ality com 2015 06 tail-call-optimization html

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Look here   http   tratt net laurie tech articles articles tail call optimization  As you probably know  recursive function calls can wreak havoc on a stack  it is easy to quickly run out of stack space  Tail call optimization is way by which you can create a recursive style algorithm that uses constant stack space  therefore it does not grow and grow and you get stack errors

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TCO  Tail Call Optimization  is the process by which a smart compiler can make a call to a function and take no additional stack space  The only situation in which this happens is if the last instruction executed in a function f is a call to a function g  Note  g can be f   The key here is that f no longer needs stack space - it simply calls g and then returns whatever g would return  In this case the optimization can be made that g just runs and returns whatever value it would have to the thing that called f   This optimization can make recursive calls take constant stack space  rather than explode   Example  this factorial function is not TCOptimizable     def fact n       if n    0          return 1     return n   fact n-1    This function does things besides call another function in its return statement    This below function is TCOptimizable   def fact h n  acc       if n    0          return acc     return fact h n-1  acc n   def fact n       return fact h n  1    This is because the last thing to happen in any of these functions is to call another function

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TCO  Tail Call Optimization  is the process by which a smart compiler can make a call to a function and take no additional stack space  The only situation in which this happens is if the last instruction executed in a function f is a call to a function g  Note  g can be f   The key here is that f no longer needs stack space - it simply calls g and then returns whatever g would return  In this case the optimization can be made that g just runs and returns whatever value it would have to the thing that called f   This optimization can make recursive calls take constant stack space  rather than explode   Example  this factorial function is not TCOptimizable     def fact n       if n    0          return 1     return n   fact n-1    This function does things besides call another function in its return statement    This below function is TCOptimizable   def fact h n  acc       if n    0          return acc     return fact h n-1  acc n   def fact n       return fact h n  1    This is because the last thing to happen in any of these functions is to call another function

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GCC C minimal runnable example with x86 disassembly analysis  Let s see how GCC can automatically do tail call optimizations for us by looking at the generated assembly   This will serve as an extremely concrete example of what was mentioned in other answers such as https   stackoverflow com a 9814654 895245 that the optimization can convert recursive function calls to a loop   This in turn saves memory and improves performance  since memory accesses are often the main thing that makes programs slow nowadays   As an input  we give GCC a non-optimized naive stack based factorial   tail call c   include  lt stdio h gt   include  lt stdlib h gt   unsigned factorial unsigned n        if  n    1            return 1            return n   factorial n - 1      int main int argc  char   argv        int input      if  argc  gt  1            input   strtoul argv 1   NULL  0         else           input   5            printf   u n   factorial input        return EXIT SUCCESS      GitHub upstream   Compile and disassemble   gcc -O1 -foptimize-sibling-calls -ggdb3 -std c99 -Wall -Wextra -Wpedantic     -o tail call out tail call c objdump -d tail call out   where -foptimize-sibling-calls is the name of generalization of tail calls according to man gcc      -foptimize-sibling-calls        Optimize sibling and tail recursive calls          Enabled at levels -O2  -O3  -Os    as mentioned at  How do I check if gcc is performing tail-recursion optimization   I choose -O1 because    the optimization is not done with -O0  I suspect that this is because there are required intermediate transformations missing  -O3 produces ungodly efficient code that would not be very educative  although it is also tail call optimized    Disassembly with -fno-optimize-sibling-calls   0000000000001145  lt factorial gt       1145        89 f8                   mov     edi  eax     1147        83 ff 01                cmp     0x1  edi     114a        74 10                   je     115c  lt factorial 0x17 gt      114c        53                      push    rbx     114d        89 fb                   mov     edi  ebx     114f        8d 7f ff                lea    -0x1  rdi   edi     1152        e8 ee ff ff ff          callq  1145  lt factorial gt      1157        0f af c3                imul    ebx  eax     115a        5b                      pop     rbx     115b        c3                      retq     115c        c3                      retq   With -foptimize-sibling-calls   0000000000001145  lt factorial gt       1145        b8 01 00 00 00          mov     0x1  eax     114a        83 ff 01                cmp     0x1  edi     114d        74 0e                   je     115d  lt factorial 0x18 gt      114f        8d 57 ff                lea    -0x1  rdi   edx     1152        0f af c7                imul    edi  eax     1155        89 d7                   mov     edx  edi     1157        83 fa 01                cmp     0x1  edx     115a        75 f3                   jne    114f  lt factorial 0xa gt      115c        c3                      retq     115d        89 f8                   mov     edi  eax     115f        c3                      retq   The key difference between the two is that    the -fno-optimize-sibling-calls uses callq  which is the typical non-optimized function call   This instruction pushes the return address to the stack  therefore increasing it   Furthermore  this version also does push  rbx  which pushes  rbx to the stack   GCC does this because it stores edi  which is the first function argument  n  into ebx  then calls factorial   GCC needs to do this because it is preparing for another call to factorial  which will use the new edi    n-1   It chooses ebx because this register is callee-saved  What registers are preserved through a linux x86-64 function call so the subcall to factorial won t change it and lose n  the -foptimize-sibling-calls does not use any instructions that push to the stack  it only does goto jumps within factorial with the instructions je and jne   Therefore  this version is equivalent to a while loop  without any function calls  Stack usage is constant    Tested in Ubuntu 18 10  GCC 8 2

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We should ensure that there are no goto statements in the function itself    taken care by function call being the last thing in the callee function  Large scale recursions can use this for optimizations  but in small scale  the instruction overhead for making the function call a tail call reduces the actual purpose  TCO might cause a forever running function   void eternity         eternity

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Tail-call optimization is where you are able to avoid allocating a new stack frame for a function because the calling function will simply return the value that it gets from the called function  The most common use is tail-recursion  where a recursive function written to take advantage of tail-call optimization can use constant stack space  Scheme is one of the few programming languages that guarantee in the spec that any implementation must provide this optimization  so here are two examples of the factorial function in Scheme   define  fact x     if    x 0  1          x  fact  - x 1        define  fact x     define  fact-tail x accum       if    x 0  accum          fact-tail  - x 1     x accum        fact-tail x 1    The first function is not tail recursive because when the recursive call is made  the function needs to keep track of the multiplication it needs to do with the result after the call returns  As such  the stack looks as follows   fact 3     3  fact 2      3    2  fact 1       3    2    1  fact 0        3    2    1 1       3    2 1      3 2  6  In contrast  the stack trace for the tail recursive factorial looks as follows   fact 3   fact-tail 3 1   fact-tail 2 3   fact-tail 1 6   fact-tail 0 6  6  As you can see  we only need to keep track of the same amount of data for every call to fact-tail because we are simply returning the value we get right through to the top  This means that even if I were to call  fact 1000000   I need only the same amount of space as  fact 3   This is not the case with the non-tail-recursive fact  and as such large values may cause a stack overflow

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Tail-call optimization is where you are able to avoid allocating a new stack frame for a function because the calling function will simply return the value that it gets from the called function  The most common use is tail-recursion  where a recursive function written to take advantage of tail-call optimization can use constant stack space  Scheme is one of the few programming languages that guarantee in the spec that any implementation must provide this optimization  so here are two examples of the factorial function in Scheme   define  fact x     if    x 0  1          x  fact  - x 1        define  fact x     define  fact-tail x accum       if    x 0  accum          fact-tail  - x 1     x accum        fact-tail x 1    The first function is not tail recursive because when the recursive call is made  the function needs to keep track of the multiplication it needs to do with the result after the call returns  As such  the stack looks as follows   fact 3     3  fact 2      3    2  fact 1       3    2    1  fact 0        3    2    1 1       3    2 1      3 2  6  In contrast  the stack trace for the tail recursive factorial looks as follows   fact 3   fact-tail 3 1   fact-tail 2 3   fact-tail 1 6   fact-tail 0 6  6  As you can see  we only need to keep track of the same amount of data for every call to fact-tail because we are simply returning the value we get right through to the top  This means that even if I were to call  fact 1000000   I need only the same amount of space as  fact 3   This is not the case with the non-tail-recursive fact  and as such large values may cause a stack overflow

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Note first of all that not all languages support it     TCO applys to a special case of recursion  The gist of it is  if the last thing you do in a function is call itself  e g  it is calling itself from the  tail  position   this can be optimized by the compiler to act like iteration instead of standard recursion     You see  normally during recursion  the runtime needs to keep track of all the recursive calls  so that when one returns it can resume at the previous call and so on   Try manually writing out the result of a recursive call to get a visual idea of how this works   Keeping track of all the calls takes up space  which gets significant when the function calls itself a lot  But with TCO  it can just say  go back to the beginning  only this time change the parameter values to these new ones   It can do that because nothing after the recursive call refers to those values

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Tail-call optimization is where you are able to avoid allocating a new stack frame for a function because the calling function will simply return the value that it gets from the called function  The most common use is tail-recursion  where a recursive function written to take advantage of tail-call optimization can use constant stack space  Scheme is one of the few programming languages that guarantee in the spec that any implementation must provide this optimization  so here are two examples of the factorial function in Scheme   define  fact x     if    x 0  1          x  fact  - x 1        define  fact x     define  fact-tail x accum       if    x 0  accum          fact-tail  - x 1     x accum        fact-tail x 1    The first function is not tail recursive because when the recursive call is made  the function needs to keep track of the multiplication it needs to do with the result after the call returns  As such  the stack looks as follows   fact 3     3  fact 2      3    2  fact 1       3    2    1  fact 0        3    2    1 1       3    2 1      3 2  6  In contrast  the stack trace for the tail recursive factorial looks as follows   fact 3   fact-tail 3 1   fact-tail 2 3   fact-tail 1 6   fact-tail 0 6  6  As you can see  we only need to keep track of the same amount of data for every call to fact-tail because we are simply returning the value we get right through to the top  This means that even if I were to call  fact 1000000   I need only the same amount of space as  fact 3   This is not the case with the non-tail-recursive fact  and as such large values may cause a stack overflow

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Let s walk through a simple example  the factorial function implemented in C   We start with the obvious recursive definition  unsigned fac unsigned n        if  n  lt  2  return 1      return n   fac n - 1       A function ends with a tail call if the last operation before the function returns is another function call  If this call invokes the same function  it is tail-recursive   Even though fac   looks tail-recursive at first glance  it is not as what actually happens is  unsigned fac unsigned n        if  n  lt  2  return 1      unsigned acc   fac n - 1       return n   acc      ie the last operation is the multiplication and not the function call   However  it s possible to rewrite fac   to be tail-recursive by passing the accumulated value down the call chain as an additional argument and passing only the final result up again as the return value   unsigned fac unsigned n        return fac tailrec 1  n      unsigned fac tailrec unsigned acc  unsigned n        if  n  lt  2  return acc      return fac tailrec n   acc  n - 1       Now  why is this useful  Because we immediately return after the tail call  we can discard the previous stackframe before invoking the function in tail position  or  in case of recursive functions  reuse the stackframe as-is   The tail-call optimization transforms our recursive code into  unsigned fac tailrec unsigned acc  unsigned n    TOP      if  n  lt  2  return acc      acc   n   acc      n   n - 1      goto TOP      This can be inlined into fac   and we arrive at  unsigned fac unsigned n        unsigned acc   1   TOP      if  n  lt  2  return acc      acc   n   acc      n   n - 1      goto TOP      which is equivalent to  unsigned fac unsigned n        unsigned acc   1       for    n  gt  1  --n          acc    n       return acc      As we can see here  a sufficiently advanced optimizer can replace tail-recursion with iteration  which is far more efficient as you avoid function call overhead and only use a constant amount of stack space

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In a functional language  tail call optimization is as if a function call could return a partially evaluated expression as the result  which would then be evaluated by the caller   f x   g x   f 6 reduces to g 6  So if the implementation could return g 6 as the result  and then call that expression it would save a stack frame   Also  f x   if c x then g x else h x    Reduces to f 6 to either g 6 or h 6  So if the implementation evaluates c 6 and finds it is true then it can reduce   if true then g x else h x --- gt  g x  f x --- gt  h x   A simple non tail call optimization interpreter might look like this   class simple expresion           public      virtual ximple value  DoEvaluate   const   0      class simple value               class simple function   public simple expresion           private      simple expresion  m Function      simple expresion  m Parameter   public      virtual simple value  DoEvaluate   const               vector lt simple expresion   gt  parameterList          parameterList- gt push back m Parameter           return m Function- gt Call parameterList             class simple if   public simple function   private      simple expresion  m Condition      simple expresion  m Positive      simple expresion  m Negative   public      simple value  DoEvaluate   const               if  m Condition DoEvaluate  - gt IsTrue                          return m Positive DoEvaluate                      else                       return m Negative DoEvaluate                        A tail call optimization interpreter might look like this   class tco expresion           public      virtual tco expresion  DoEvaluate   const   0      virtual bool IsValue                 return false            class tco value           public      virtual bool IsValue                 return true            class tco function   public tco expresion           private      tco expresion  m Function      tco expresion  m Parameter   public      virtual tco expression  DoEvaluate   const               vector lt  tco expression   gt  parameterList          tco expression  function   const cast lt SNI Function   gt  this           while   function- gt IsValue                          function   function- gt DoCall parameterList                     return function             tco expresion  DoCall vector lt tco expresion   gt   amp p ParameterList                p ParameterList push back m Parameter           return m Function            class tco if   public tco function   private      tco expresion  m Condition      tco expresion  m Positive      tco expresion  m Negative       tco expresion  DoEvaluate   const               if  m Condition DoEvaluate  - gt IsTrue                          return m Positive                    else                       return m Negative

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Probably the best high level description I have found for tail calls  recursive tail calls and tail call optimization is the blog post   What the heck is  A tail call    by Dan Sugalski  On tail call optimization he writes      Consider  for a moment  this simple function   sub foo  int a      a    15    return bar a           So  what can you  or rather your language compiler  do  Well  what it can do is turn code of the form return somefunc    into the low-level sequence pop stack frame  goto somefunc     In our example  that means before we call bar  foo cleans itself up and then  rather than calling bar as a subroutine  we do a low-level goto operation to the start of bar  Foo s already cleaned itself out of the stack  so when bar starts it looks like whoever called foo has really called bar  and when bar returns its value  it returns it directly to whoever called foo  rather than returning it to foo which would then return it to its caller    And on tail recursion      Tail recursion happens if a function  as its last operation  returns   the result of calling itself  Tail recursion is easier to deal with   because rather than having to jump to the beginning of some random   function somewhere  you just do a goto back to the beginning of   yourself  which is a darned simple thing to do    So that this    sub foo  int a  int b      if  b    1        return a      else       return foo a a   a  b - 1          gets quietly turned into    sub foo  int a  int b      label      if  b    1          return a        else         a   a a   a        b   b - 1        goto label          What I like about this description is how succinct and easy it is to grasp for those coming from an imperative language background  C  C    Java

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GCC C minimal runnable example with x86 disassembly analysis  Let s see how GCC can automatically do tail call optimizations for us by looking at the generated assembly   This will serve as an extremely concrete example of what was mentioned in other answers such as https   stackoverflow com a 9814654 895245 that the optimization can convert recursive function calls to a loop   This in turn saves memory and improves performance  since memory accesses are often the main thing that makes programs slow nowadays   As an input  we give GCC a non-optimized naive stack based factorial   tail call c   include  lt stdio h gt   include  lt stdlib h gt   unsigned factorial unsigned n        if  n    1            return 1            return n   factorial n - 1      int main int argc  char   argv        int input      if  argc  gt  1            input   strtoul argv 1   NULL  0         else           input   5            printf   u n   factorial input        return EXIT SUCCESS      GitHub upstream   Compile and disassemble   gcc -O1 -foptimize-sibling-calls -ggdb3 -std c99 -Wall -Wextra -Wpedantic     -o tail call out tail call c objdump -d tail call out   where -foptimize-sibling-calls is the name of generalization of tail calls according to man gcc      -foptimize-sibling-calls        Optimize sibling and tail recursive calls          Enabled at levels -O2  -O3  -Os    as mentioned at  How do I check if gcc is performing tail-recursion optimization   I choose -O1 because    the optimization is not done with -O0  I suspect that this is because there are required intermediate transformations missing  -O3 produces ungodly efficient code that would not be very educative  although it is also tail call optimized    Disassembly with -fno-optimize-sibling-calls   0000000000001145  lt factorial gt       1145        89 f8                   mov     edi  eax     1147        83 ff 01                cmp     0x1  edi     114a        74 10                   je     115c  lt factorial 0x17 gt      114c        53                      push    rbx     114d        89 fb                   mov     edi  ebx     114f        8d 7f ff                lea    -0x1  rdi   edi     1152        e8 ee ff ff ff          callq  1145  lt factorial gt      1157        0f af c3                imul    ebx  eax     115a        5b                      pop     rbx     115b        c3                      retq     115c        c3                      retq   With -foptimize-sibling-calls   0000000000001145  lt factorial gt       1145        b8 01 00 00 00          mov     0x1  eax     114a        83 ff 01                cmp     0x1  edi     114d        74 0e                   je     115d  lt factorial 0x18 gt      114f        8d 57 ff                lea    -0x1  rdi   edx     1152        0f af c7                imul    edi  eax     1155        89 d7                   mov     edx  edi     1157        83 fa 01                cmp     0x1  edx     115a        75 f3                   jne    114f  lt factorial 0xa gt      115c        c3                      retq     115d        89 f8                   mov     edi  eax     115f        c3                      retq   The key difference between the two is that    the -fno-optimize-sibling-calls uses callq  which is the typical non-optimized function call   This instruction pushes the return address to the stack  therefore increasing it   Furthermore  this version also does push  rbx  which pushes  rbx to the stack   GCC does this because it stores edi  which is the first function argument  n  into ebx  then calls factorial   GCC needs to do this because it is preparing for another call to factorial  which will use the new edi    n-1   It chooses ebx because this register is callee-saved  What registers are preserved through a linux x86-64 function call so the subcall to factorial won t change it and lose n  the -foptimize-sibling-calls does not use any instructions that push to the stack  it only does goto jumps within factorial with the instructions je and jne   Therefore  this version is equivalent to a while loop  without any function calls  Stack usage is constant    Tested in Ubuntu 18 10  GCC 8 2

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TCO  Tail Call Optimization  is the process by which a smart compiler can make a call to a function and take no additional stack space  The only situation in which this happens is if the last instruction executed in a function f is a call to a function g  Note  g can be f   The key here is that f no longer needs stack space - it simply calls g and then returns whatever g would return  In this case the optimization can be made that g just runs and returns whatever value it would have to the thing that called f   This optimization can make recursive calls take constant stack space  rather than explode   Example  this factorial function is not TCOptimizable     def fact n       if n    0          return 1     return n   fact n-1    This function does things besides call another function in its return statement    This below function is TCOptimizable   def fact h n  acc       if n    0          return acc     return fact h n-1  acc n   def fact n       return fact h n  1    This is because the last thing to happen in any of these functions is to call another function

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In a functional language  tail call optimization is as if a function call could return a partially evaluated expression as the result  which would then be evaluated by the caller   f x   g x   f 6 reduces to g 6  So if the implementation could return g 6 as the result  and then call that expression it would save a stack frame   Also  f x   if c x then g x else h x    Reduces to f 6 to either g 6 or h 6  So if the implementation evaluates c 6 and finds it is true then it can reduce   if true then g x else h x --- gt  g x  f x --- gt  h x   A simple non tail call optimization interpreter might look like this   class simple expresion           public      virtual ximple value  DoEvaluate   const   0      class simple value               class simple function   public simple expresion           private      simple expresion  m Function      simple expresion  m Parameter   public      virtual simple value  DoEvaluate   const               vector lt simple expresion   gt  parameterList          parameterList- gt push back m Parameter           return m Function- gt Call parameterList             class simple if   public simple function   private      simple expresion  m Condition      simple expresion  m Positive      simple expresion  m Negative   public      simple value  DoEvaluate   const               if  m Condition DoEvaluate  - gt IsTrue                          return m Positive DoEvaluate                      else                       return m Negative DoEvaluate                        A tail call optimization interpreter might look like this   class tco expresion           public      virtual tco expresion  DoEvaluate   const   0      virtual bool IsValue                 return false            class tco value           public      virtual bool IsValue                 return true            class tco function   public tco expresion           private      tco expresion  m Function      tco expresion  m Parameter   public      virtual tco expression  DoEvaluate   const               vector lt  tco expression   gt  parameterList          tco expression  function   const cast lt SNI Function   gt  this           while   function- gt IsValue                          function   function- gt DoCall parameterList                     return function             tco expresion  DoCall vector lt tco expresion   gt   amp p ParameterList                p ParameterList push back m Parameter           return m Function            class tco if   public tco function   private      tco expresion  m Condition      tco expresion  m Positive      tco expresion  m Negative       tco expresion  DoEvaluate   const               if  m Condition DoEvaluate  - gt IsTrue                          return m Positive                    else                       return m Negative

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TCO  Tail Call Optimization  is the process by which a smart compiler can make a call to a function and take no additional stack space  The only situation in which this happens is if the last instruction executed in a function f is a call to a function g  Note  g can be f   The key here is that f no longer needs stack space - it simply calls g and then returns whatever g would return  In this case the optimization can be made that g just runs and returns whatever value it would have to the thing that called f   This optimization can make recursive calls take constant stack space  rather than explode   Example  this factorial function is not TCOptimizable     def fact n       if n    0          return 1     return n   fact n-1    This function does things besides call another function in its return statement    This below function is TCOptimizable   def fact h n  acc       if n    0          return acc     return fact h n-1  acc n   def fact n       return fact h n  1    This is because the last thing to happen in any of these functions is to call another function

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Note first of all that not all languages support it     TCO applys to a special case of recursion  The gist of it is  if the last thing you do in a function is call itself  e g  it is calling itself from the  tail  position   this can be optimized by the compiler to act like iteration instead of standard recursion     You see  normally during recursion  the runtime needs to keep track of all the recursive calls  so that when one returns it can resume at the previous call and so on   Try manually writing out the result of a recursive call to get a visual idea of how this works   Keeping track of all the calls takes up space  which gets significant when the function calls itself a lot  But with TCO  it can just say  go back to the beginning  only this time change the parameter values to these new ones   It can do that because nothing after the recursive call refers to those values

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Probably the best high level description I have found for tail calls  recursive tail calls and tail call optimization is the blog post   What the heck is  A tail call    by Dan Sugalski  On tail call optimization he writes      Consider  for a moment  this simple function   sub foo  int a      a    15    return bar a           So  what can you  or rather your language compiler  do  Well  what it can do is turn code of the form return somefunc    into the low-level sequence pop stack frame  goto somefunc     In our example  that means before we call bar  foo cleans itself up and then  rather than calling bar as a subroutine  we do a low-level goto operation to the start of bar  Foo s already cleaned itself out of the stack  so when bar starts it looks like whoever called foo has really called bar  and when bar returns its value  it returns it directly to whoever called foo  rather than returning it to foo which would then return it to its caller    And on tail recursion      Tail recursion happens if a function  as its last operation  returns   the result of calling itself  Tail recursion is easier to deal with   because rather than having to jump to the beginning of some random   function somewhere  you just do a goto back to the beginning of   yourself  which is a darned simple thing to do    So that this    sub foo  int a  int b      if  b    1        return a      else       return foo a a   a  b - 1          gets quietly turned into    sub foo  int a  int b      label      if  b    1          return a        else         a   a a   a        b   b - 1        goto label          What I like about this description is how succinct and easy it is to grasp for those coming from an imperative language background  C  C    Java

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Look here   http   tratt net laurie tech articles articles tail call optimization  As you probably know  recursive function calls can wreak havoc on a stack  it is easy to quickly run out of stack space  Tail call optimization is way by which you can create a recursive style algorithm that uses constant stack space  therefore it does not grow and grow and you get stack errors

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Note first of all that not all languages support it     TCO applys to a special case of recursion  The gist of it is  if the last thing you do in a function is call itself  e g  it is calling itself from the  tail  position   this can be optimized by the compiler to act like iteration instead of standard recursion     You see  normally during recursion  the runtime needs to keep track of all the recursive calls  so that when one returns it can resume at the previous call and so on   Try manually writing out the result of a recursive call to get a visual idea of how this works   Keeping track of all the calls takes up space  which gets significant when the function calls itself a lot  But with TCO  it can just say  go back to the beginning  only this time change the parameter values to these new ones   It can do that because nothing after the recursive call refers to those values

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We should ensure that there are no goto statements in the function itself    taken care by function call being the last thing in the callee function  Large scale recursions can use this for optimizations  but in small scale  the instruction overhead for making the function call a tail call reduces the actual purpose  TCO might cause a forever running function   void eternity         eternity

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Look here   http   tratt net laurie tech articles articles tail call optimization  As you probably know  recursive function calls can wreak havoc on a stack  it is easy to quickly run out of stack space  Tail call optimization is way by which you can create a recursive style algorithm that uses constant stack space  therefore it does not grow and grow and you get stack errors

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Let s walk through a simple example  the factorial function implemented in C   We start with the obvious recursive definition  unsigned fac unsigned n        if  n  lt  2  return 1      return n   fac n - 1       A function ends with a tail call if the last operation before the function returns is another function call  If this call invokes the same function  it is tail-recursive   Even though fac   looks tail-recursive at first glance  it is not as what actually happens is  unsigned fac unsigned n        if  n  lt  2  return 1      unsigned acc   fac n - 1       return n   acc      ie the last operation is the multiplication and not the function call   However  it s possible to rewrite fac   to be tail-recursive by passing the accumulated value down the call chain as an additional argument and passing only the final result up again as the return value   unsigned fac unsigned n        return fac tailrec 1  n      unsigned fac tailrec unsigned acc  unsigned n        if  n  lt  2  return acc      return fac tailrec n   acc  n - 1       Now  why is this useful  Because we immediately return after the tail call  we can discard the previous stackframe before invoking the function in tail position  or  in case of recursive functions  reuse the stackframe as-is   The tail-call optimization transforms our recursive code into  unsigned fac tailrec unsigned acc  unsigned n    TOP      if  n  lt  2  return acc      acc   n   acc      n   n - 1      goto TOP      This can be inlined into fac   and we arrive at  unsigned fac unsigned n        unsigned acc   1   TOP      if  n  lt  2  return acc      acc   n   acc      n   n - 1      goto TOP      which is equivalent to  unsigned fac unsigned n        unsigned acc   1       for    n  gt  1  --n          acc    n       return acc      As we can see here  a sufficiently advanced optimizer can replace tail-recursion with iteration  which is far more efficient as you avoid function call overhead and only use a constant amount of stack space

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Note first of all that not all languages support it     TCO applys to a special case of recursion  The gist of it is  if the last thing you do in a function is call itself  e g  it is calling itself from the  tail  position   this can be optimized by the compiler to act like iteration instead of standard recursion     You see  normally during recursion  the runtime needs to keep track of all the recursive calls  so that when one returns it can resume at the previous call and so on   Try manually writing out the result of a recursive call to get a visual idea of how this works   Keeping track of all the calls takes up space  which gets significant when the function calls itself a lot  But with TCO  it can just say  go back to the beginning  only this time change the parameter values to these new ones   It can do that because nothing after the recursive call refers to those values

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Tail-call optimization is where you are able to avoid allocating a new stack frame for a function because the calling function will simply return the value that it gets from the called function  The most common use is tail-recursion  where a recursive function written to take advantage of tail-call optimization can use constant stack space  Scheme is one of the few programming languages that guarantee in the spec that any implementation must provide this optimization  so here are two examples of the factorial function in Scheme   define  fact x     if    x 0  1          x  fact  - x 1        define  fact x     define  fact-tail x accum       if    x 0  accum          fact-tail  - x 1     x accum        fact-tail x 1    The first function is not tail recursive because when the recursive call is made  the function needs to keep track of the multiplication it needs to do with the result after the call returns  As such  the stack looks as follows   fact 3     3  fact 2      3    2  fact 1       3    2    1  fact 0        3    2    1 1       3    2 1      3 2  6  In contrast  the stack trace for the tail recursive factorial looks as follows   fact 3   fact-tail 3 1   fact-tail 2 3   fact-tail 1 6   fact-tail 0 6  6  As you can see  we only need to keep track of the same amount of data for every call to fact-tail because we are simply returning the value we get right through to the top  This means that even if I were to call  fact 1000000   I need only the same amount of space as  fact 3   This is not the case with the non-tail-recursive fact  and as such large values may cause a stack overflow

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The recursive function approach has a problem  It builds up a call stack of size O n   which makes our total memory cost O n   This makes it vulnerable to a stack overflow error  where the call stack gets too big and runs out of space   Tail call optimization  TCO  scheme  Where it can optimize recursive functions to avoid building up a tall call stack and hence saves the memory cost   There are many languages who are doing TCO like  JavaScript  Ruby and few C  whereas Python and Java do not do TCO   JavaScript language has confirmed using      http   2ality com 2015 06 tail-call-optimization html

[algorithm] What is tail call optimization?

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