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Books > Computing & IT > General theory of computing
Step up your presentation skills with our 6-page laminated guide,
focusing on graphic features, animation, audio and a variety of
ways presentations can be formatted and distributed. Joan Lambert,
author of multiple books on the Microsoft Office Suite, creator of
many Lynda.com videos and an experienced corporate trainer used her
experience and knowledge to cover the most relevant functions for
users at different levels. Also look for the "PowerPoint 2016"
QuickStudy for more general coverage of software use, then use the
pair to become a power user that can create presentations that
"wow". Suggested uses: Workplace -- flat for easy storage and
access at a moments notice to find a function you need to use, or
to jog your memory for a function you do not use often; Company
Training -- reduce help-desk calls and keep productivity flowing
for a team or for your entire company; Students/Teachers/Parents --
help with the learning curve in a classroom or for your child and
any projects requiring PowerPoint; College Professors/Students --
give polished presentations to your classes that give your hard
work the look it deserves.
You ve just purchased a TI-83 Plus calculator to assist in
performing different types of mathematical equations now, how can
you get the most out of it? You ll find the answer to this question
with our comprehensive, 3-panel guide that shows in great detail
what exactly the TI-83 Plus can do. Function key and mode
descriptions, as well as problem-solving examples, are included
within a color-coded format for easy reference.
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Computational experiments on algorithms can supplement theoretical
analysis by showing what algorithms, implementations, and speed-up
methods work best for specific machines or problems. This book
guides the reader through the nuts and bolts of the major
experimental questions: What should I measure? What inputs should I
test? How do I analyze the data? To answer these questions the book
draws on ideas from algorithm design and analysis, computer
systems, and statistics and data analysis. The wide-ranging
discussion includes a tutorial on system clocks and CPU timers, a
survey of strategies for tuning algorithms and data structures, a
cookbook of methods for generating random combinatorial inputs, and
a demonstration of variance reduction techniques. Numerous case
studies and examples show how to apply these concepts. All the
necessary concepts in computer architecture and data analysis are
covered so that the book can be used by anyone who has taken a
course or two in data structures and algorithms. A companion
website, AlgLab (www.cs.amherst.edu/alglab) contains downloadable
files, programs, and tools for use in experimental projects.
Reachable Sets of Dynamic Systems: Uncertainty, Sensitivity, and
Complex Dynamics introduces differential inclusions, providing an
overview as well as multiple examples of its interdisciplinary
applications. The design of dynamic systems of any type is an
important issue as is the influence of uncertainty in model
parameters and model sensitivity. The possibility of calculating
the reachable sets may be a powerful additional tool in such tasks.
This book can help graduate students, researchers, and engineers
working in the field of computer simulation and model building, in
the calculation of reachable sets of dynamic models.
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The White Paper
(Paperback)
Satoshi Nakamoto; Introduction by James Bridle; Edited by Jaya Klara Brekke, Ben Vickers
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R391
R352
Discovery Miles 3 520
Save R39 (10%)
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Ships in 9 - 17 working days
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Algebraic Theory for True Concurrency presents readers with the
algebraic laws for true concurrency. Parallelism and concurrency
are two of the core concepts within computer science. This book
covers the different realms of concurrency, which enables programs,
algorithms or problems to be broken out into order-independent or
partially ordered components to improve computation and execution
speed. There are two primary approaches for executing concurrency:
interleaving concurrency and true concurrency. The main
representative of interleaving concurrency is bisimulation/rooted
branching bisimulation equivalences which is also readily explored.
This work eventually founded the comprehensive axiomatization
modulo bisimulation equivalence -- ACP (Algebra of Communicating
Processes).The other approach to concurrency is true concurrency.
Research on true concurrency is active and includes many emerging
applications. First, there are several truly concurrent
bisimulation equivalences, including: pomset bisimulation
equivalence, step bisimulation equivalence, history-preserving
(hp-) bisimulation equivalence, and hereditary history-preserving
(hhp-) bisimulation equivalence, the most well-known truly
concurrent bisimulation equivalence.
Today, computation is an essential component of every technology.
However, there has not been much research on quantum computing,
even though it has the capability to solve complex problems in an
efficient way. Further study is required to fully understand the
uses and benefits of this technology. The Handbook of Research on
Quantum Computing for Smart Environments presents investigating
physical realizations of quantum computers, encoders, and decoders,
including photonic quantum realization, cavity quantum
electrodynamics, and many more topics on Bits to Qubits. Covering
key topics such as machine learning, software, quantum algorithms,
and neural networks, this major reference work is ideal for
engineers, computer scientists, physicists, mathematicians,
researchers, academicians, scholars, practitioners, instructors,
and students.
In just 24 lessons of one hour or less, Design Thinking for Tech
helps you inject techniques and exercises into your projects using
the same systematic and creative process that designers have used
for years. Anderson walks you through a simple four-phase Design
Thinking model, showing how to loop back, keep learning, and
continuously refine your work. You start by understanding the
essential "what, how, when, why, and who" of Design Thinking. Next,
you use core Design Thinking techniques to understand the big
picture, focus on your most critical problems, think more
creatively about them, take the "next best steps" toward problem
resolution and value creation, and along the way rapidly iterate
for progress. Every lesson builds on what you've already learned,
with exercises crafted to deliver directly relevant experience.
Regardless of your role in the world of technology, you'll learn
how to supercharge success for any tech-related project, business
initiative, or digital transformation. Learn how to... Apply a
simple four-phased Design Thinking model in team and individual
settings Inject game-changing methods into the project lifecycle
Gain crucial "big picture" insights into how a situation has
evolved over time Build and maintain healthier, more resilient
teams Reskill teams to deliver greater business, functional, and
technical impact Set and manage realistic expectations through a
360 Degrees view of your stakeholders Connect, communicate, and
empathize with the right people at the right time Liberate the
ideas trapped in your head so you can explore them deeply with
others Think divergently, expand creativity, and work through
uncertainty Navigate problems to quickly arrive at potential
solutions Deliver incremental yet real value to people who
desperately need it Start small to deliver greater value at
velocity Improve how you approach and manage change Step-by-step
instructions carefully walk you through the most common tasks.
Practical, hands-on examples show you how to apply what you learn.
Quizzes and exercises help you test your knowledge and stretch your
skills. Notes and tips point out shortcuts and solutions.
Whether you are a beginner or experienced user, learn about new
features in this version or discover and use some of Word's
functions for the first time. Joan Lambert, author of multiple
books on the Microsoft Office Suite, creator of many Lynda.com
videos and an experienced corporate trainer used her experience and
knowledge to cover the most relevant functions for users at
different levels. Suggested uses: Workplace -- flat for easy
storage and access at a moments notice to find a function you need
to use, or to jog your memory for a function you do not use often;
Company Training -- reduce help-desk calls and keep productivity
flowing for a team or for your entire company;
Students/Teachers/Parents -- help with the learning curve in a
classroom or for your child and any projects requiring Word;
College Students -- make sure you are using features that can make
your life easier.
The Designer's Guide to the Cortex-M Microcontrollers, Third
Edition provides an easy-to-understand introduction to the concepts
required to develop programs in C with a Cortex-M based
microcontroller. Sections cover architectural descriptions that are
supported with practical examples, enabling readers to easily
develop basic C programs to run on the Cortex-M0/M0+/M3 and M4 and
M7 and examine advanced features of the Cortex architecture, such
as memory protection, operating modes and dual stack operation.
Final sections examine techniques for software testing and code
reuse specific to Cortex-M microcontrollers. Users will learn the
key differences between the Cortex-M0/M0+/M3 and M4 and M7; how to
write C programs to run on Cortex-M based processors; how to make
the best use of the CoreSight debug system; the Cortex-M operating
modes and memory protection; advanced software techniques that can
be used on Cortex-M microcontrollers, and much more.
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