Other Programming Ebooks
GRE Computer Science Test Practice Book.pdf
Taken from Test-Taking Strategies: The questions in the practice test in this book illustrate the types of multiple-choice questions in the test. When you take the test, you will mark your answers on a separate machine-scorable answer sheet. Total testing time is two hours and fifty minutes; there are no separately timed sections. Following are some general test-taking strategies you may want to consider.
* Read the test directions carefully, and work as rapidly as you can without being careless. For each question, choose the best answer from the available options.
* All questions are of equal value; do not waste time pondering individual questions you find extremely difficult or unfamiliar.
* You may want to work through the test quite rapidly, first answering only the questions about which you feel confident, then going back and answering questions that require more thought, and concluding with the most difficult questions if there is time.
* If you decide to change an answer, make sure you completely erase it and fill in the oval corresponding to your desired answer.
* Questions for which you mark no answer or more than one answer are not counted in scoring.
* As a correction for haphazard guessing, onefourth of the number of questions you answer incorrectly is subtracted from the number of questions you answer correctly. It is improbable that mere guessing will improve your score significantly; it may even lower your score. If, however, you are not certain of the correct answer but have some knowledge of the question and are able to eliminate one or more of the answer choices, your chance of getting the right answer is improved, and it may be to your advantage to answer the question.
* Record all answers on your answer sheet. Answers recorded in your test book will not be counted.
* Do not wait until the last five minutes of a testing session to record answers on your answer sheet.
Algorithmic Information Theory.pdf
Taken from Foreword: Turing’s deep 1937 paper made it clear that G¨odel’s astonishing earlier
results on arithmetic undecidability related in a very natural way to a class of computing automata, nonexistent at the time of Turing’s paper, but destined to appear only a few years later, subsequently to proliferate as the ubiquitous stored-program computer of today. The appearance of computers, and the involvement of a large scienti c community in elucidation of their properties and limitations, greatly enriched the line of thought opened by Turing. Turing’s distinction between computational problems was rawly binary: some were solvable by algorithms, others not. Later work, of which an attractive part is elegantly developed in the present volume, re ned this into a multiplicity of scales of computational difficulty, which is still developing as a fundamental theory of information and computation that plays much the same role in computer science that classical thermodynamics plays in physics: by de ning the outer limits of the possible, it prevents designers of algorithms from trying to create computational structures which provably do not exist. It is not surprising that such a thermodynamics of information should be as rich in philosophical consequence as thermodynamics itself.
Tutorial: Creating and Meshing Basic Geometry in Gambit.pdf
This pdf tutorial illustrates some of the basic operations for generating a mesh using GAMBIT.
Software Engineering.pdf
42 Lessons on Software engineering, taken from IIT Kharagpur’s Course Materials for free 
Gambit-C v4.2.8 - A portable implementation of Scheme.pdf
The Gambit programming system is a full implementation of the Scheme language which conforms to the R4RS, R5RS and IEEE Scheme standards. It consists of two main programs: gsi, the Gambit Scheme interpreter, and gsc, the Gambit Scheme compiler.
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