A Problem Course in Mathematical Logic
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Either by signing into your account or linking your membership details before your order is placed. Your points will be added to your account once your order is shipped. Click on the cover image above to read some pages of this book! A Problem Course in Mathematical Logic is intended to serve as the text for an introduction to mathematical logic for undergraduates with some mathematical sophistication. It supplies definitions, statements of results, and problems, along with some explanations, examples, and hints.
Catalog Record: A Problem Course in Mathematical Logic | HathiTrust Digital Library
The idea is for the students, individually or in groups, to learn the material by solving the problems and proving the results for themselves. The book should do as the text for a course taught using the modified Moore-method. Help Centre. Click here to find out. Book Description A Problem Course in Mathematical Logic is intended to serve as the text for an introduction to mathematical logic for undergraduates with some mathematical sophistication.
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Mathematical Logic & Problem Solving
Computer Science. Electronic Engineering. Brief history of mathematical logic, discussing how problems mathematical logic faced and solved in its development, and how mathematical logic integrates further and further into programming. The language of propositional logic has limited tools, so we talk about more complex languages based on predicate logic.
The language of predicate logic offers tools for full and exact description of any formal notions and statements. The axiomatic method makes it possible to solve many logical problems, errors and paradoxes.
It is widely used in today's mathematics and the knowledge of it is vital for anyone using functional and logical programming languages. To learn about the possibilities of the algorithmic approach and the limitations of calculations, one must know the rigorous definition of algorithms and computability. The module offers these definitions and defines algorithmically unsolvable problems. The module introduces the concept of algorithm complexity, which is an important factor when selecting algorithms to solve problems.
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The module also compares problems by complexity - this knowledge makes it possible to use any search algorithm to solve problem instead of search for the good algorithm. Read more. Get personalized course recommendations, track subjects and courses with reminders, and more. Home Subjects Mathematics. Facebook Twitter Envelope Url.
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