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engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering;
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engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering;
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- and using numerous, substantial case studies and sample programs - this text explores structured problem solving, data abstraction, software;
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introduction to problem solving and the C++ programming language. The authors' proven five-step problem solving methodology is presented and then;
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, substantial case studies and sample programs-this text explores structured problem solving, data abstraction, software engineering principles, and the;
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Shallow Foundations: Discussions and Problem Solving is written for civil engineers and all civil engineering students taking courses;
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, processing engineering data, includes the essentials required in preparing for any engineering curriculum. It covers, for example, problem-solving;
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calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the;
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structures. The text Explores problem solving and the efficient access and manipulation of data and is intended for readers who already have a basic;
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Problem solving is implicit in the very nature of all science, and virtually all scientists are hired, retained, and rewarded for solving;
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Problem solving is implicit in the very nature of all science, and virtually all scientists are hired, retained, and rewarded for solving;
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control, problem-solving strategies, testing, and data encoding and organizing. The text also discusses fundamental concepts of programming;
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-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning;
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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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processing and inverse problem solving, and places emphasis on the clear understanding of algorithms within the context of application needs. Based;
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This book contains the invited and contributed papers selected for presentation at SOFSEM 2021, the 47th International Conference on;
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Based on the idea of a universal rule for problem solving, the book suggests that the System-Fuzzy Approach (SFA) Model can be applied to;
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handbook provides a practical review of required basic mathematical methods, and relates them to specific areas of food industry problem solving;
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basic conservation laws (e.g., of energy or mass) as simple accounting procedures. This is a unifying concept that facilitates problem-solving;
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This book is at once a supplement to traditional foundation engineering textbooks and an independent problem-solving learning tool. The;
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conservation laws (e.g., of energy or mass) as simple accounting procedures. This is a unifying concept that facilitates problem-solving across all;
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computing. * Introduces techniques and tools for analysing and designing problem-solving systems for open complex problems and systems;
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computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the;
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solving engineering problems as well as real-life problems. This book is written in a spectral style and is ideal as an entry level textbook for;
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in mathematics, engineering analysis, and computational problem solving needed in subjects such as radiation interactions, heat transfer, reactor physics;
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