Maths From Low To High Level Exercises Solved
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| Author | : Mercedes Orús Lacort |
| Publisher | : Lulu.com |
| Total Pages | : 118 |
| Release | : 2016-02-17 |
| Genre | : Technology & Engineering |
| ISBN | : 1326568388 |
This is a book where you will find many solved exercises about Algebra, Linear Algebra, Calculus and Mathematical Analysis. It is very useful for all those students needing help and support. The exercises are solved step by step, explaining how and why the exercise is solved by this way. It's not a theory book. And you will find exercises about: equations, numbers satisfying any conditions, non linear system equations, vectors and algebraic geometry, integral domains, Diophantine equations, linear algebra, absolute value, inequalities (any of them using absolute value), limits, continuity, function domain, derivable functions, study of a function (maximum, minimum, increasing and decreasing intervals, concavity), series and integrals (any of them using Beta and Gamma functions).
| Author | : Marc Peter Deisenroth |
| Publisher | : Cambridge University Press |
| Total Pages | : 392 |
| Release | : 2020-04-23 |
| Genre | : Computers |
| ISBN | : 1108569323 |
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
| Author | : David Beveridge Mair |
| Publisher | : |
| Total Pages | : 504 |
| Release | : 1914 |
| Genre | : Mathematics |
| ISBN | : |
| Author | : David J. Morin |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 0 |
| Release | : 2016 |
| Genre | : Probabilities |
| ISBN | : 9781523318674 |
Preface -- Combinatorics -- Probability -- Expectation values -- Distributions -- Gaussian approximations -- Correlation and regression -- Appendices.
| Author | : Arthur Engel |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 404 |
| Release | : 2008-01-19 |
| Genre | : Mathematics |
| ISBN | : 0387226419 |
A unique collection of competition problems from over twenty major national and international mathematical competitions for high school students. Written for trainers and participants of contests of all levels up to the highest level, this will appeal to high school teachers conducting a mathematics club who need a range of simple to complex problems and to those instructors wishing to pose a "problem of the week", thus bringing a creative atmosphere into the classrooms. Equally, this is a must-have for individuals interested in solving difficult and challenging problems. Each chapter starts with typical examples illustrating the central concepts and is followed by a number of carefully selected problems and their solutions. Most of the solutions are complete, but some merely point to the road leading to the final solution. In addition to being a valuable resource of mathematical problems and solution strategies, this is the most complete training book on the market.
| Author | : S. Bhushan |
| Publisher | : Prabhat Prakashan |
| Total Pages | : 144 |
| Release | : 2009-01-01 |
| Genre | : Self-Help |
| ISBN | : 9788187100089 |
Calculation Without Tears by S. Bhushan/ B.S. Gupta: "Calculation Without Tears: Simplifying Mathematical Concepts" is a comprehensive guide by S. Bhushan and B.S. Gupta that aims to demystify mathematics and make complex calculations accessible to learners of all levels. This book provides practical techniques, tips, and strategies to build confidence in mathematical problem-solving and foster a deeper understanding of mathematical concepts. Key Aspects of the Book "Calculation Without Tears: Simplifying Mathematical Concepts": Simplified Approach: The book presents a simplified approach to mathematical calculations, breaking down complex concepts into manageable steps. It offers techniques and shortcuts to enhance computational skills and promote a deeper understanding of mathematical principles. Practical Examples: "Calculation Without Tears" provides numerous practical examples and real-world applications of mathematical concepts. It bridges the gap between theoretical knowledge and practical problem-solving, enabling readers to apply mathematical principles in various contexts. Building Confidence: The book aims to build confidence in learners by offering clear explanations, practice exercises, and problem-solving strategies. It empowers readers to overcome math anxiety, develop a positive mindset towards mathematics, and approach calculations with ease. Bhushan and B.S. Gupta, esteemed authors and experienced educators, collaborate in "Calculation Without Tears: Simplifying Mathematical Concepts" to make mathematics more accessible and enjoyable for learners. With their combined expertise in mathematics education, they provide practical guidance and techniques to simplify complex calculations. Bhushan and Gupta aim to empower learners of all ages and levels to overcome mathematical challenges and develop a solid foundation in mathematical problem-solving. "Calculation Without Tears" serves as a valuable resource for students, teachers, and anyone seeking to enhance their mathematical skills with confidence and ease.
| Author | : Terence Tao |
| Publisher | : OUP Oxford |
| Total Pages | : 116 |
| Release | : 2006-07-28 |
| Genre | : Mathematics |
| ISBN | : 0191568694 |
Authored by a leading name in mathematics, this engaging and clearly presented text leads the reader through the tactics involved in solving mathematical problems at the Mathematical Olympiad level. With numerous exercises and assuming only basic mathematics, this text is ideal for students of 14 years and above in pure mathematics.
| Author | : Sanjoy Mahajan |
| Publisher | : MIT Press |
| Total Pages | : 152 |
| Release | : 2010-03-05 |
| Genre | : Education |
| ISBN | : 0262265591 |
An antidote to mathematical rigor mortis, teaching how to guess answers without needing a proof or an exact calculation. In problem solving, as in street fighting, rules are for fools: do whatever works—don't just stand there! Yet we often fear an unjustified leap even though it may land us on a correct result. Traditional mathematics teaching is largely about solving exactly stated problems exactly, yet life often hands us partly defined problems needing only moderately accurate solutions. This engaging book is an antidote to the rigor mortis brought on by too much mathematical rigor, teaching us how to guess answers without needing a proof or an exact calculation. In Street-Fighting Mathematics, Sanjoy Mahajan builds, sharpens, and demonstrates tools for educated guessing and down-and-dirty, opportunistic problem solving across diverse fields of knowledge—from mathematics to management. Mahajan describes six tools: dimensional analysis, easy cases, lumping, picture proofs, successive approximation, and reasoning by analogy. Illustrating each tool with numerous examples, he carefully separates the tool—the general principle—from the particular application so that the reader can most easily grasp the tool itself to use on problems of particular interest. Street-Fighting Mathematics grew out of a short course taught by the author at MIT for students ranging from first-year undergraduates to graduate students ready for careers in physics, mathematics, management, electrical engineering, computer science, and biology. They benefited from an approach that avoided rigor and taught them how to use mathematics to solve real problems. Street-Fighting Mathematics will appear in print and online under a Creative Commons Noncommercial Share Alike license.
| Author | : Stephen Siklos |
| Publisher | : |
| Total Pages | : 188 |
| Release | : 2019-10-16 |
| Genre | : Mathematics |
| ISBN | : 9781783747764 |
This new and expanded edition is intended to help candidates prepare for entrance examinations in mathematics and scientific subjects, including STEP (Sixth Term Examination Paper). STEP is an examination used by Cambridge Colleges for conditional offers in mathematics. They are also used by some other UK universities and many mathematics departments recommend that their applicants practice on the past papers even if they do not take the examination. Advanced Problems in Mathematics bridges the gap between school and university mathematics, and prepares students for an undergraduate mathematics course. The questions analysed in this book are all based on past STEP questions and each question is followed by a comment and a full solution. The comments direct the reader's attention to key points and put the question in its true mathematical context. The solutions point students to the methodology required to address advanced mathematical problems critically and independently. This book is a must read for any student wishing to apply to scientific subjects at university level and for anyone interested in advanced mathematics.
| Author | : Barbara A. Oakley |
| Publisher | : TarcherPerigee |
| Total Pages | : 338 |
| Release | : 2014-07-31 |
| Genre | : Mathematics |
| ISBN | : 039916524X |
Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. In her book, she offers you the tools needed to get a better grasp of that intimidating but inescapable field.
