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Слово «solve»
впервые сказано пользователем valex 30.05.2005 в 04:37,
и с тех пор употреблялось 32 раза.
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«solve»

Запрос выполнился за 0.2378 сек.
  1. 05.04.2012, 13:02. RPG в теме
    «Встреча LUG-а в сентябре 2011 (для первокурсников)»
    ... я добавил на луа http rosettacode org wiki 24 game solve lua там это 24 game но принцип тот же дано 4...
  2. 29.02.2012, 11:13. Наталья Остапенко в теме
    «Роль в Microsoft для выпускников 2011 - 2012 гг»
    ... english familiarity with microsoft s vision and how to solve business problems with microsoft solutions understanding...
  3. 20.11.2011, 16:19. .kkursor в теме
    «Матан.Севастьянов»
    ... алгоритму код while true task seva- task give if you- solve task continue else mark 2 break
  4. 22.07.2011, 22:42. LasLtdT в теме
    «Инженер-электронщик»
    ... for interference elimination please check yourself solve a resistor network using kirchhoff laws find...
  5. 02.07.2011, 18:17. VAL в теме
    «Абитуриенту: как решать задачи? В том числе при выборе вуза»
    ... математика д пойа как решить задачу georg poiya how to solve it 1956 понять задачу что является неизвестным...
  6. 11.11.2010, 01:06. Chameleon в теме
    «Maxima на Corum'е»
    ... functions it can differentiate integrate take limits solve equations factor polynomials expand functions in power series solve differential equations in closed form and perform many other operations it also has a programming language that you can use to extend maxima s capabilities the dangers of computer algebra with all this marvelous capability however you must bear in mind the limitations inherent in any such tool those considering the use of computers to do mathematics particularly students must be warned that these systems are no substitute for hands on work with equations and struggling with concepts these systems do not build your mathematical intuition nor will they strengthen your core skills this will matter a great deal down the road especially to those of you who wish to break new ground in theoretical mathematics and science do not use a computer as a substitute for your basic education by the same token however proficiency with computers and computer based mathematics is crucial for attacking the many problems which literally cannot be solved by pencil and paper methods in many cases problems which would take years by hand can be reduced to seconds by powerful computers also in the course of a long derivation it is sometimes useful for those who have already mastered the fundamentals to do work in these systems as a guard against careless errors or a faster means than a table of deriving some particular result also in case of an error fixing the resulting error can often be much quicker and simpler courtesy of a mathematical notebook which can be reevaluated with the correct parameters in place but just as a computer can guard against human error the human must not trust the computer unquestioningly all of these systems have limits and when those limits are reached it is quite possible for bizarre errors to result or in some cases answers which are actually wrong to say nothing of the fact that the people who programmed these systems were human and make mistakes to illustrate the limits of computer algebra systems we take the following example when given the integral integrate 1 sqrt 2-2 cos x from x -pi 2 to pi 2 mathematica 4 1 gives with no warnings 2 log 4 2 log cos pi 8 2 log sin pi 8 which n evalutates numerically to give 1 00984 maxima 5 6 returns the integral unevaluated the commercial macsyma says the integral is divergent and maple 7 says infinity cite maxima email list here had the person who wished to learn the result blindly trusted most of the systems in question he might have been misled so remember to think about the results you are given the computer is not always necessarily right and even if it gives a correct answer that answer is not necessarily complete a brief history of macsyma the birthplace of macsyma where much of the original coding took place was project mac at mit in the late 1960s and earlier 1970s projectmac was an mit research unit which was folded into the current laboratory for computer science research support for macsyma included the advanced research projects agency arpa department of defense the us department of energy and other government and private sources the original idea first voiced by marvin minsky was to automate the kinds of manipulations done by mathematicians as a step toward understanding the power of computers to exhibit a kind of intelligent behavior the undertaking grew out of a previous effort at mitre corp called mathlab work of carl engelman and others plus the mit thesis work of joel moses on symbolic integration and the mit thesis work of william a martin the new effort was dubbed macsyma project mac s symbolic manipulator the original core design was done in july 1968 and coding began in july 1969 this was long before the days of personal computers and cheap memory initial development was centered around a single computer shared with the artificial intelligence laboratory a dec pdp-6 this was replaced by newer more powerful machines over the years and eventually the mathlab group acquired its own dec-pdp-10 mit-ml running the its operating system this machine became a host on the early arpanet predecessor to the internet which helped it gain a wider audience as the effort grew in scope and ability the general interest it created led to attempts to port the code that is to take the series of instructions which had been written for one machine and operating system and adapt them to run on another different system the earliest such effort was the running of macsyma in a maclisp environment on a ge honeywell multics mainframe another system at mit the multics environment provided essentially unlimited address space but for various reasons the system was not favored by programmers and the multics implementation was never popular the next effort came about when a group at mit designed and implemented a machine which was based on the notion that hardware support of lisp would make it possible to overcome problems that inhibited the solution of many interesting problems the lisp machine clearly had to support macsyma the largest lisp program of the day and the effort paid off with probably the best environment for macsyma to date although requiring something of an expert perspective lisp machines as well as other special purpose hardware tended to become slow and expensive compared to off-the-shelf machines built around merchant-semiconductor cpus and so the two companies that were spun off from mit symbolics inc and lmi both eventually disappeared texas instruments built a machine called the explorer bases on the lmi design but also stopped production around 1980 the idea of porting macsyma began to be more interesting and the unix based vaxima distribution which ran on a lisp system built at the university of california at berkeley for vax unix demonstrated that it was both possible and practical to run the software on less expensive systems this system franz lisp was implemented primarily in lisp with some parts written in c once the code stabilized the new version opened up porting possibilities ultimately producing at least six variations on the theme which included macsyma maxima paramax paramacs punimax aljbar and vaxima these have followed somewhat different paths and most were destined to fade into the sunset the two which survived obscurity maxima and macsyma we will discuss below punimax was actually an offshoot of maxima some time around 1994 bruno haible author of clisp ported maxima to clisp due to the legal concerns of richard petti then the owner of the commercial macsyma the name was changed to punimax it has not seen much activity since the initial port and although it is still available the ability of the main maxima distribution to compile on clisp makes further development of punimax unlikely there is a certain surprising aspect in this multiplicity of versions and platforms given how the code seemed tied to the development environment which included a unique operating system fortunately berkeley s building a replica of the maclisp environment on the mit-ml pdp-10 using tools available in almost any unix c environment helped solve this problem complicating the matter was the...
  7. 11.11.2010, 01:04. Chameleon в теме
    «Maxima на Corum'е»
    ... красота начинается отсюда простая математика код maxima solve 4 x 2 2 x-17 0 x bfloat pi 2 64 16 3 9 5 12 5-9 6 maxima редактировать в maxima i1 solve 4 x 2 2 x-17 0 x o1 x sqrt 69 1 4 x sqrt 69 -1 4 i2 bfloat pi o2 3 141592653589793b0 i3 2 64 o3 18446744073709551616 i4 16 3 9 5 12 5-9 6 o4 214 27 картинки код maxima plot2d sin x x pi pi r exp cos t -2 cos 4 t -sin t 12 5 plot2d parametric r sin t r cos t t -8 pi 8 pi nticks 2000 plot2d parametric cos t sin t t -2 pi 2 pi nticks 8 plot2d discrete 10 20 30 40 50 6 9 1 1 1 3 1 4 plot2d discrete 10 6 20 9 30 1 1 40 1 3 50 1 4 style points plot3d 2 -u 2 v 2 u -3 3 v -2 2 plot3d log x 2 y 2 x -2 2 y -2 2 z -8 4 palette false color magenta blue plot3d log x 2 y 2 x -2 2 y -2 2 grid 29 29 palette get plot option palette 5 plot3d 2 -x 2 y 2 4 sin 3 x 2 y 2 x 2 y 2 x -3 3 y -2 2 expr 1 5 cos x cos x 2 cos y sin x 2 sin 2 y 3 0 10 0 expr 2 -5 sin x cos x 2 cos y sin x 2 sin 2 y 3 0 expr 3 5 -sin x 2 cos y cos x 2 sin 2 y plot3d expr 1 expr 2 expr 3 x pi pi y pi pi grid 40 40 maxima редактировать в maxima i1 plot2d sin x x pi pi i2 r exp cos t -2 cos 4 t -sin t 12 5 i3 plot2d parametric r sin t r cos t t -8 pi 8 pi nticks 2000 i4 plot2d parametric cos t sin t t -2 pi 2 pi nticks 8 i5 plot2d discrete 10 20 30 40 50 6 9 1 1 1 3 1 4 i6 plot2d discrete 10 6 20 9 30 1 1 40 1 3 50 1 4 style points i7 plot3d 2 -u 2 v 2 u -3 3 v -2 2 i8 plot3d log x 2 y 2 x -2 2 y -2 2 z -8 4 palette false color magenta blue i9 plot3d log x 2 y 2 x -2 2 y -2 2 grid 29 29 palette get plot option palette 5 i10 plot3d 2 -x 2 y 2 4 sin 3 x 2 y 2 x 2 y 2 x -3 3 y -2 2 i11 expr 1 5 cos x cos x 2 cos y sin x 2 sin 2 y 3 0 10 0 i12 expr 2 -5 sin x cos x 2 cos y sin x 2 sin 2 y 3 0 i13 expr 3 5 -sin x 2 cos y cos x 2 sin 2 y i14 plot3d expr 1 expr 2 expr 3 x pi pi y pi pi grid 40 40 уберем лишний код maxima usetex 0 solve x 3-4 x 2 2 x-17 0 x bfloat pi 2 64 16 3 9 5 12 5-9 6 maxima редактировать в maxima i1 solve x 3-4 x 2 2 x-17 0 x o1 x 10 sqrt 3 i 2-1 2 9...
  8. 10.11.2010, 21:13. Chameleon в теме
    «СПО на Научной сессии НИЯУ МИФИ-2011»
    ... речь простая математика редактировать в maxima i1 solve 4 x 2 2 x-17 0 x o1 x sqrt 69 1 4 x sqrt 69 -1 4 i2 bfloat pi o2 3 141592653589793b0 i3 2 64 o3 18446744073709551616 i4 16 3 9 5 12 5-9 6 o4 214 27 красивости редактировать в maxima i1 plot2d sin x x pi pi i2 r exp cos t -2 cos 4 t -sin t 12 5 i3 plot2d parametric r sin t r cos t t -8 pi 8 pi nticks 2000 i4 plot2d parametric cos t sin t t -2 pi 2 pi nticks 8 i5 plot2d discrete 10 20 30 40 50 6 9 1 1 1 3 1 4 i6 plot2d discrete 10 6 20 9 30 1 1 40 1 3 50 1 4 style points i7 plot3d 2 -u 2 v 2 u -3 3 v -2 2 i8 plot3d log x 2 y 2 x -2 2 y -2 2 z -8 4 palette false color magenta blue i9 plot3d log x 2 y 2 x -2 2 y -2 2 grid 29 29 palette get plot option palette 5 i10 plot3d 2 -x 2 y 2 4 sin 3 x 2 y 2 x 2 y 2 x -3 3 y -2 2 i11 expr 1 5 cos x cos x 2 cos y sin x 2 sin 2 y 3 0 10 0 i12 expr 2 -5 sin x cos x 2 cos y sin x 2 sin 2 y 3 0 i13 expr 3 5 -sin x 2 cos y cos x 2 sin 2 y i14 plot3d expr 1 expr 2 expr 3 x pi pi y pi pi grid 40 40 без редактировать в maxima i1 solve x 3-4 x 2 2 x-17 0 x o1 x 10 sqrt 3 i 2-1 2 9...
  9. 04.10.2009, 20:14. VictorMA в теме
    «Сезон 2009-2010»
    ... false return hod mas x2 y2 false return 3-hod int solve int x int y int i j for i 0 i m i for j 0 j m j mas i j false mas x-1 y-1 true return win x-1 y-1 1 int x y int winner int main freopen modelling txt w stdout for m 1 m 9 m for x 1 x 1 m 1 x for y 1 y 1 m 1 y printf d d d d n m x y solve x y printf n fclose stdout return 0
  10. 21.04.2009, 18:16. McSim в теме
    «Nanoelectronics with AI»
    ... hope that new frontiers will be broken enabling us to solve the problems that were unreachable before я не...

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