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Decades of innovations in combinatorial problem solving have produced better and more complex algorithms. These new methods are better;
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of mathematical tools and begins with an easy-to-use problem solving methodology. The text is also designed to prepare students for their first course;
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For courses in C++ introductory programming. Learn the fundamentals of C++ programming with an emphasis on problem solving Now;
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Provides a solid integration of basic computing concepts with Pascal programming to foster the use of programming as a problem--solving;
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, Romania, October 2007. Coverage includes: autonomous and adaptive computing; data mining and knowledge discovery; distributed problem solving and;
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This text is intended for a 1-, 2-, or 3-semester CS1 course sequence. Daniel Liang teaches concepts of problem-solving and object-oriented;
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supports domain-oriented problem solving process adapting Polya's four steps methodology for mathematical problem solving: Formalize the problem;
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Master today's MATLAB (R) technical programming language while strengthening problem-solving skills with the help of Chapman's successful;
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-solving strategies will be introduced in analyses and solutions to problem cases. For students in computer-related majors, contestants and;
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scientists, therefore, need to be lifelong learners. Problem Solving with Python takes an explicit problem-solving approach to the introduction;
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This book describes a method for building real-world problem solving systems such as medical diagnostic procedures and intelligent;
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Data Structures, Brief Version teaches concepts of problem-solving and object-orientated programming using a fundamentals-first approach;
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For the C++ introductory programming course Problem Solving with C++ continues to be the most widely used textbook by students and;
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problem solving Now in its 10th Edition, Problem Solving with C++ is written for the beginning programmer. The text cultivates strong problem;
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computer implementations. We know that, for solving Mathematical Programming problem various algorithms can be used, but only few of the methods;
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Emphasizing the basic concepts of programming and the development of problem-solving skills, this highly-effective introduction to computer;
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A core or supplementary text for one-semester, freshman/sophomore-level introductory courses taken by programming majors in Problem Solving;
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Offering a clear tutorial guide to the new Fortran 90 language, this book highlights Fortran 90's role as a powerful tool for problem;
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chapters provide flexibility for the instructor in what and when topics are introduced. Key to Java Program Design is an introduction to problem;
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beginner, this book focuses on cultivating strong problem-solving and programming techniques while introducing students to the C++ programming;
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Daniel Liang teaches concepts of problem-solving and object-oriented programming using a fundamentals-first approach. Beginning programmers;
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, this now classic text was the first comprehensive attempt to define the scope of logic for problem solving. In this extended edition, Robert;
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students, researchers, and professionals to be proficient in the use of software tools for problem solving. MATLAB (R) is one such tool that;
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, Introduction to Java Programming and Data Structures, Brief Version teaches concepts of problem-solving and object-orientated programming using a;
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