Products related to Computation:
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The Nature of Computation
Computational complexity is one of the most beautiful fields of modern mathematics, and it is increasingly relevant to other sciences ranging from physics to biology.But this beauty is often buried underneath layers of unnecessary formalism, and exciting recent results like interactive proofs, phase transitions, and quantum computing are usually considered too advanced for the typical student.This book bridges these gaps by explaining the deep ideas of theoretical computer science in a clear and enjoyable fashion, making them accessible to non-computer scientists and to computer scientists who finally want to appreciate their field from a new point of view.The authors start with a lucid and playful explanation of the P vs.NP problem, explaining why it is so fundamental, and so hard to resolve.They then lead the reader through the complexity of mazes and games; optimization in theory and practice; randomized algorithms, interactive proofs, and pseudorandomness; Markov chains and phase transitions; and the outer reaches of quantum computing.At every turn, they use a minimum of formalism, providing explanations that are both deep and accessible.The book is intended for graduate and undergraduate students, scientists from other areas who have long wanted to understand this subject, and experts who want to fall in love with this field all over again.
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Wanderlust
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Wanderlust mug.
A noun Wanderlust is the strong desire to travel. Just returned home from a trip of a lifetime? Time to start planning the next one... and the next one... and the next one...
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Wanderlust Seattle
For tourists and locals of rainy Seattle, see and explore the Emerald City as you never have before with this travel-sized illustrated guidebook and journal, all in one. Filled with colorful illustrations by Betsy Beier (Wanderlust Designer), this keepsake acts as a personal tour guide as you wander through the streets of Seattle, from Capitol Hill to the world-famous Pike Place Market and beyond. Organized by the city’s districts, the book leads you through all the major sights and hidden gems, with historical tidbits and other need-to-know information about the area.Sprinkled throughout are creative prompts and ideas for ways you can engage and immerse yourself in the city, involving anything from writing and drawing to photography, and other various activities.There also are fill-in lists for you to record your favorite spots and extra space to jot down other notes. A perfect memento of your travels as well as a way to learn the history and culture of a place, this destination journal takes you on a special adventure around Seattle to help you make it all your own.
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What is neural computation?
Neural computation refers to the process by which the brain and nervous system process and transmit information. It involves the complex interactions between neurons, which are the basic building blocks of the nervous system. Neural computation encompasses a wide range of functions, including sensory perception, motor control, learning, and memory. This field of study seeks to understand how neural networks process information and how these processes can be replicated or simulated in artificial systems.
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How does neural computation work?
Neural computation refers to the process by which the brain processes and analyzes information. It involves the transmission of electrical signals between neurons, which are specialized cells that make up the nervous system. These signals are passed through synapses, or connections between neurons, and can be either excitatory or inhibitory. The brain integrates and processes these signals to generate responses and behaviors. Overall, neural computation is a complex and dynamic process that underlies all cognitive functions and behaviors.
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How does symbolic computation work?
Symbolic computation involves manipulating mathematical expressions and equations using symbols and rules, rather than numerical values. This allows for the manipulation of complex mathematical expressions, including algebraic, trigonometric, and calculus operations, without needing to compute specific numerical values. Symbolic computation systems use algorithms and rules to perform operations such as simplification, differentiation, integration, and solving equations symbolically, providing exact solutions in terms of symbols and variables. This approach is particularly useful in mathematics, engineering, and scientific research, where exact symbolic solutions are often needed for further analysis and interpretation.
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What is neural computation 2?
Neural computation 2 refers to the process of information processing and decision-making within the brain using neural networks. It involves the complex interactions between neurons, synapses, and neurotransmitters to perform tasks such as learning, memory, and problem-solving. Neural computation 2 also encompasses the study of artificial neural networks, which are computational models inspired by the structure and function of the brain, and are used in various applications such as pattern recognition, machine learning, and artificial intelligence.
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Turbulent Flow Computation
In various branches of fluid mechanics, our understanding is inhibited by the presence of turbulence.Although many experimental and theoretical studies have significantly helped to increase our physical understanding, a comp- hensive and predictive theory of turbulent flows has not yet been established.Therefore, the prediction of turbulent flow relies heavily on simulation stra- gies.The development of reliable methods for turbulent flow computation will have a significant impact on a variety of technological advancements.These range from aircraft and car design, to turbomachinery, combustors, and process engineering.Moreover, simulation approaches are important in materials - sign, prediction of biologically relevant flows, and also significantly contribute to the understanding of environmental processes including weather and climate forecasting.The material that is compiled in this book presents a coherent account of contemporary computational approaches for turbulent flows.It aims to p- vide the reader with information about the current state of the art as well as to stimulate directions for future research and development.The book puts part- ular emphasis on computational methods for incompressible and compressible turbulent flows as well as on methods for analysing and quantifying nume- cal errors in turbulent flow computations.In addition, it presents turbulence modelling approaches in the context of large eddy simulation, and unfolds the challenges in the field of simulations for multiphase flows and computational fluid dynamics (CFD) of engineering flows in complex geometries.Apart from reviewing main research developments, new material is also included in many of the chapters.
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Wanderlust Portland
For tourists and locals of Portland, Oregon, see and explore the Rose City as you never have before with this travel-sized illustrated guidebook and journal, all in one. "Locals and visitors alike will find this a creative and invaluable guide to help discover—and record—new experiences across the Rose City."—Powell's Books Staff PickDiscover Portland with this colorfully illustrated tour guide and travel journal, all in one!The Wanderlust Guide series offers a unique way of really getting to know a city, with all its quirks and charms.Inside Wanderlust Portland you'll find historical tidbits, fun trivia, fill-in lists, and creative prompts, including drawing, writing, photography, a scavenger hunt, and more imaginative ideas.With this guide, you can:Shop at the Portland Saturday Market and search for unique items. Relax at Pioneer Courthouse Square and record interesting conversations. Explore the Brewery Blocks for inspiration to make your own special brew. Sample from hundreds of food carts and design a food truck menu. View paintings and murals around Alberta Arts District and create a gallery of artwork. Embrace the outdoors at the parks of Portland and take a nature walk. And much more. Ready for a creative adventure? Grab a pen and some color pencils, bring your phone, and let's go!
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Evolutionary Computation 2020
Intelligent optimization is based on the mechanism of computational intelligence to refine a suitable feature model, design an effective optimization algorithm, and then to obtain an optimal or satisfactory solution to a complex problem. Intelligent algorithms are key tools to ensure global optimization quality, fast optimization efficiency and robust optimization performance. Intelligent optimization algorithms have been studied by many researchers, leading to improvements in the performance of algorithms such as the evolutionary algorithm, whale optimization algorithm, differential evolution algorithm, and particle swarm optimization. Studies in this arena have also resulted in breakthroughs in solving complex problems including the green shop scheduling problem, the severe nonlinear problem in one-dimensional geodesic electromagnetic inversion, error and bug finding problem in software, the 0-1 backpack problem, traveler problem, and logistics distribution center siting problem. The editors are confident that this book can open a new avenue for further improvement and discoveries in the area of intelligent algorithms. The book is a valuable resource for researchers interested in understanding the principles and design of intelligent algorithms.
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Linear Programming Computation
This monograph represents a historic breakthrough in the field of linear programming (LP)since George Dantzig first discovered the simplex method in 1947. Being both thoughtful and informative, it focuses on reflecting and promoting the state of the art by highlighting new achievements in LP.This new edition is organized in two volumes. The first volume addresses foundations of LP, including the geometry of feasible region, the simplex method and its implementation, duality and the dual simplex method, the primal-dual simplex method, sensitivity analysis and parametric LP, the generalized simplex method, the decomposition method, the interior-point method and integer LP method.The second volume mainly introduces contributions of the author himself, such as efficient primal/dual pivot rules, primal/dual Phase-I methods, reduced/D-reduced simplex methods, the generalized reduced simplex method, primal/dual deficient-basis methods, primal/dual face methods, a new decomposition principle, etc. Many important improvements were made in this edition.The first volume includes new results, such as the mixed two-phase simplex algorithm, dual elimination, fresh pricing scheme for reduced cost, bilevel LP models and intercepting of optimal solution set.In particular, the chapter Integer LP Method was rewritten with great gains of the objective cutting for new ILP solvers {it controlled-cutting/branch} methods, as well as with an attractive implementation of the controlled-branch method. In the second volume, the `simplex feasible-point algorithm' was rewritten, and removed from the chapter Pivotal Interior-Point Method to form an independent chapter with the new title `Simplex Interior-Point Method', as it represents a class of efficient interior-point algorithms transformed from traditional simplex algorithms.The title of the original chapter was then changed to `Facial Interior-Point Method', as the remaining algorithms represent another class of efficient interior-point algorithms transformed from normal interior-point algorithms.Without exploiting sparsity, the original primal/dual face methods were implemented using Cholesky factorization.In order to deal with sparse computation, two new chapters discussing LU factorization were added to the second volume.The most exciting improvement came from the rediscovery of the reduced simplex method.In the first edition, the derivation of its prototype was presented in a chapter with the same title, and then converted into the so-called `improved' version in another chapter.Fortunately, the author recently found a quite concise new derivation, so he can now introduce the distinctive fresh simplex method in a single chapter.It is exciting that the reduced simplex method can be expected to be the best LP solver ever. With a focus on computation, the current edition contains many novel ideas, theories and methods, supported by solid numerical results.Being clear and succinct, its content reveals in a fresh manner, from simple to profound.In particular, a larger number of examples were worked out to demonstrate algorithms.This book is a rare work in LP and an indispensable tool for undergraduate and graduate students, teachers, practitioners, and researchers in LP and related fields.
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Can wanderlust make you sick?
Wanderlust itself, which is the strong desire to travel and explore the world, is not inherently harmful or sickness-inducing. However, excessive or unfulfilled wanderlust can lead to feelings of restlessness, dissatisfaction, and even anxiety or depression. Additionally, frequent travel can expose individuals to different environments, climates, and germs, potentially increasing the risk of getting sick. It is important to balance the desire for travel with self-care and mindfulness to ensure a healthy and fulfilling travel experience.
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How does neuronal computation work through summation?
Neuronal computation works through summation by integrating the input signals received from other neurons. When a neuron receives multiple inputs, these signals are combined through a process called summation. There are two types of summation: spatial summation, which involves the integration of signals from different neurons at the same time, and temporal summation, which involves the integration of signals from the same neuron over a short period of time. The combined input signals are then processed and, if the resulting signal exceeds a certain threshold, the neuron will generate an action potential, transmitting the signal to other neurons. This process allows for complex information processing and decision-making within the brain.
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Why do some people have wanderlust?
Some people have wanderlust because they have a strong desire for new experiences, cultures, and adventures. They may feel a sense of curiosity and excitement about exploring different parts of the world and stepping out of their comfort zone. Traveling allows them to learn, grow, and create lasting memories that enrich their lives. Additionally, some individuals may have a natural inclination towards exploration and a deep appreciation for the beauty and diversity of the world.
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How can one escape from wanderlust?
One way to escape from wanderlust is to find a balance between satisfying the desire for adventure and the need for stability. This can be achieved by setting aside time for regular travel or exploration while also creating a sense of home and routine in everyday life. Additionally, finding activities or hobbies that provide a sense of fulfillment and excitement can help satisfy the urge to wander. It's also important to practice mindfulness and gratitude for the present moment, allowing oneself to appreciate the beauty and opportunities in the current surroundings.
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