The Five Biggest Unsolved Problems in Science PDF Download
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Author: Arthur W. Wiggins
Publisher: Wiley (TP)
ISBN:
Category : History
Languages : en
Pages : 246
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Book Description
An in-depth look at the most intriguing puzzles in science today In this illuminating book, professors Arthur Wiggins and Charles Wynn explore what they believe are the five biggest science problems: Physics: Why do some particles have mass, while others have none? Chemistry: By what series of chemical reactions did atoms form the first living things? Biology: What is the complete structure and function of the proteome? Geology: Is accurate, long-range weather forecasting possible? Astronomy: Why is the universe expanding faster and faster? Wiggins and Wynn carefully explain each of these problems, then discuss the theories that address them. Some of the many topics covered include string theory, the human genome, chaos theory, and protein folding. Featuring humorous illustrations from renowned science cartoonist Sidney Harris, this book invites you to explore the events that led to these problems and the cutting-edge efforts being made to solve them. The authors also provide Idea Folders, which contain additional details about the unsolved problems, and Resources for Digging Deeper, such as books, periodicals, and Web sites.
Author: Arthur W. Wiggins
Publisher: Wiley (TP)
ISBN:
Category : History
Languages : en
Pages : 246
Get Book Here
Book Description
An in-depth look at the most intriguing puzzles in science today In this illuminating book, professors Arthur Wiggins and Charles Wynn explore what they believe are the five biggest science problems: Physics: Why do some particles have mass, while others have none? Chemistry: By what series of chemical reactions did atoms form the first living things? Biology: What is the complete structure and function of the proteome? Geology: Is accurate, long-range weather forecasting possible? Astronomy: Why is the universe expanding faster and faster? Wiggins and Wynn carefully explain each of these problems, then discuss the theories that address them. Some of the many topics covered include string theory, the human genome, chaos theory, and protein folding. Featuring humorous illustrations from renowned science cartoonist Sidney Harris, this book invites you to explore the events that led to these problems and the cutting-edge efforts being made to solve them. The authors also provide Idea Folders, which contain additional details about the unsolved problems, and Resources for Digging Deeper, such as books, periodicals, and Web sites.
Author: Nikos Mastorakis
Publisher: Springer
ISBN: 3319157655
Category : Technology & Engineering
Languages : en
Pages : 483
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Book Description
This book provides readers with modern computational techniques for solving variety of problems from electrical, mechanical, civil and chemical engineering. Mathematical methods are presented in a unified manner, so they can be applied consistently to problems in applied electromagnetics, strength of materials, fluid mechanics, heat and mass transfer, environmental engineering, biomedical engineering, signal processing, automatic control and more.
Author: David Kopec
Publisher: Simon and Schuster
ISBN: 1638356548
Category : Computers
Languages : en
Pages : 262
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Book Description
Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. Summary Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Whatever software development problem you’re facing, odds are someone has already uncovered a solution. This book collects the most useful solutions devised, guiding you through a variety of challenges and tried-and-true problem-solving techniques. The principles and algorithms presented here are guaranteed to save you countless hours in project after project. About the book Classic Computer Science Problems in Java is a master class in computer programming designed around 55 exercises that have been used in computer science classrooms for years. You’ll work through hands-on examples as you explore core algorithms, constraint problems, AI applications, and much more. What's inside Recursion, memoization, and bit manipulation Search, graph, and genetic algorithms Constraint-satisfaction problems K-means clustering, neural networks, and adversarial search About the reader For intermediate Java programmers. About the author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. Table of Contents 1 Small problems 2 Search problems 3 Constraint-satisfaction problems 4 Graph problems 5 Genetic algorithms 6 K-means clustering 7 Fairly simple neural networks 8 Adversarial search 9 Miscellaneous problems 10 Interview with Brian Goetz
Author: Jerome R. Ravetz
Publisher: Routledge
ISBN: 1000159841
Category : Political Science
Languages : en
Pages : 417
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Book Description
Science is continually confronted by new and difficult social and ethical problems. Some of these problems have arisen from the transformation of the academic science of the prewar period into the industrialized science of the present. Traditional theories of science are now widely recognized as obsolete. In Scientific Knowledge and Its Social Problems (originally published in 1971), Jerome R. Ravetz analyzes the work of science as the creation and investigation of problems. He demonstrates the role of choice and value judgment, and the inevitability of error, in scientific research. Ravetz's new introductory essay is a masterful statement of how our understanding of science has evolved over the last two decades.
Author: Marshall Clagett
Publisher: Univ of Wisconsin Press
ISBN: 9780299018740
Category : Science
Languages : en
Pages : 564
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Book Description
Author: Heinz H. Bauschke
Publisher: Springer Science & Business Media
ISBN: 1441995692
Category : Mathematics
Languages : en
Pages : 409
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Book Description
"Fixed-Point Algorithms for Inverse Problems in Science and Engineering" presents some of the most recent work from top-notch researchers studying projection and other first-order fixed-point algorithms in several areas of mathematics and the applied sciences. The material presented provides a survey of the state-of-the-art theory and practice in fixed-point algorithms, identifying emerging problems driven by applications, and discussing new approaches for solving these problems. This book incorporates diverse perspectives from broad-ranging areas of research including, variational analysis, numerical linear algebra, biotechnology, materials science, computational solid-state physics, and chemistry. Topics presented include: Theory of Fixed-point algorithms: convex analysis, convex optimization, subdifferential calculus, nonsmooth analysis, proximal point methods, projection methods, resolvent and related fixed-point theoretic methods, and monotone operator theory. Numerical analysis of fixed-point algorithms: choice of step lengths, of weights, of blocks for block-iterative and parallel methods, and of relaxation parameters; regularization of ill-posed problems; numerical comparison of various methods. Areas of Applications: engineering (image and signal reconstruction and decompression problems), computer tomography and radiation treatment planning (convex feasibility problems), astronomy (adaptive optics), crystallography (molecular structure reconstruction), computational chemistry (molecular structure simulation) and other areas. Because of the variety of applications presented, this book can easily serve as a basis for new and innovated research and collaboration.
Author: Wilbur Lee Beauchamp
Publisher: Gage
ISBN:
Category : Science
Languages : en
Pages : 752
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Book Description
Author: George Danner
Publisher: Springer
ISBN: 1137472855
Category : Social Science
Languages : en
Pages : 235
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Book Description
In Profit From Science , author George Danner presents solutions to the big problems that modern business face solutions that are grounded in logic and empiricism. This book instructs business leaders in how to add the discipline and technical precision of the scientific method to their strategic planning and decision making.
Author: Troy D. Sadler
Publisher: Springer Science & Business Media
ISBN: 940071159X
Category : Science
Languages : en
Pages : 387
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Book Description
Socio-scientific issues (SSI) are open-ended, multifaceted social issues with conceptual links to science. They are challenging to negotiate and resolve, and they create ideal contexts for bridging school science and the lived experience of students. This book presents the latest findings from the innovative practice and systematic investigation of science education in the context of socio-scientific issues. Socio-scientific Issues in the Classroom: Teaching, Learning and Research focuses on how SSI can be productively incorporated into science classrooms and what SSI-based education can accomplish regarding student learning, practices and interest. It covers numerous topics that address key themes for contemporary science education including scientific literacy, goals for science teaching and learning, situated learning as a theoretical perspective for science education, and science for citizenship. It presents a wide range of classroom-based research projects that offer new insights for SSI-based education. Authored by leading researchers from eight countries across four continents, this book is an important compendium of syntheses and insights for veteran researchers, teachers and curriculum designers eager to advance the SSI agenda.
Author: Michael Strevens
Publisher: Liveright Publishing
ISBN: 1631491385
Category : Science
Languages : en
Pages : 368
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Book Description
“The Knowledge Machine is the most stunningly illuminating book of the last several decades regarding the all-important scientific enterprise.” —Rebecca Newberger Goldstein, author of Plato at the Googleplex A paradigm-shifting work, The Knowledge Machine revolutionizes our understanding of the origins and structure of science. • Why is science so powerful? • Why did it take so long—two thousand years after the invention of philosophy and mathematics—for the human race to start using science to learn the secrets of the universe? In a groundbreaking work that blends science, philosophy, and history, leading philosopher of science Michael Strevens answers these challenging questions, showing how science came about only once thinkers stumbled upon the astonishing idea that scientific breakthroughs could be accomplished by breaking the rules of logical argument. Like such classic works as Karl Popper’s The Logic of Scientific Discovery and Thomas Kuhn’s The Structure of Scientific Revolutions, The Knowledge Machine grapples with the meaning and origins of science, using a plethora of vivid historical examples to demonstrate that scientists willfully ignore religion, theoretical beauty, and even philosophy to embrace a constricted code of argument whose very narrowness channels unprecedented energy into empirical observation and experimentation. Strevens calls this scientific code the iron rule of explanation, and reveals the way in which the rule, precisely because it is unreasonably close-minded, overcomes individual prejudices to lead humanity inexorably toward the secrets of nature. “With a mixture of philosophical and historical argument, and written in an engrossing style” (Alan Ryan), The Knowledge Machine provides captivating portraits of some of the greatest luminaries in science’s history, including Isaac Newton, the chief architect of modern science and its foundational theories of motion and gravitation; William Whewell, perhaps the greatest philosopher-scientist of the early nineteenth century; and Murray Gell-Mann, discoverer of the quark. Today, Strevens argues, in the face of threats from a changing climate and global pandemics, the idiosyncratic but highly effective scientific knowledge machine must be protected from politicians, commercial interests, and even scientists themselves who seek to open it up, to make it less narrow and more rational—and thus to undermine its devotedly empirical search for truth. Rich with illuminating and often delightfully quirky illustrations, The Knowledge Machine, written in a winningly accessible style that belies the import of its revisionist and groundbreaking concepts, radically reframes much of what we thought we knew about the origins of the modern world.
