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This workbook and solutions manual is intended for advanced
undergraduate or beginning graduate students as a supplement to a
traditional course in numerical mathematics and as preparation for
independent research involving numerical mathematics. The solutions
manual provides complete MATLAB code and numerical results for each
of the exercises in the workbook and will be especially useful for
those students without previous MATLAB programming experience. It
is also valuable for classroom instructors to help pinpoint the
author's intent in each exercise and to provide a model for
graders. Upon completion of this material, students will have a
working knowledge of MATLAB programming, they will have themselves
programmed algorithms encountered in classwork and textbooks, and
they will know how to check and verify their own programs against
hand calculations and by reference to theoretical results, special
polynomial solutions and other specialized solutions. No previous
programming experience with MATLAB is necessary.
This workbook and solutions manual is intended for advanced
undergraduate or beginning graduate students as a supplement to a
traditional course in numerical mathematics and as preparation for
independent research involving numerical mathematics. The solutions
manual provides complete MATLAB code and numerical results for each
of the exercises in the workbook and will be especially useful for
those students without previous MATLAB programming experience. It
is also valuable for classroom instructors to help pinpoint the
author's intent in each exercise and to provide a model for
graders. Upon completion of this material, students will have a
working knowledge of MATLAB programming, they will have themselves
programmed algorithms encountered in classwork and textbooks, and
they will know how to check and verify their own programs against
hand calculations and by reference to theoretical results, special
polynomial solutions and other specialized solutions. No previous
programming experience with MATLAB is necessary.
This workbook and solutions manual is intended for advanced
undergraduate or beginning graduate students as a supplement to a
traditional course in numerical mathematics and as preparation for
independent research involving numerical mathematics. The solutions
manual provides complete MATLAB code and numerical results for each
of the exercises in the workbook and will be especially useful for
those students without previous MATLAB programming experience. It
is also valuable for classroom instructors to help pinpoint the
author's intent in each exercise and to provide a model for
graders. Upon completion of this material, students will have a
working knowledge of MATLAB programming, they will have themselves
programmed algorithms encountered in classwork and textbooks, and
they will know how to check and verify their own programs against
hand calculations and by reference to theoretical results, special
polynomial solutions and other specialized solutions. No previous
programming experience with MATLAB is necessary.
This workbook and solutions manual is intended for advanced
undergraduate or beginning graduate students as a supplement to a
traditional course in numerical mathematics and as preparation for
independent research involving numerical mathematics. The solutions
manual provides complete MATLAB code and numerical results for each
of the exercises in the workbook and will be especially useful for
those students without previous MATLAB programming experience. It
is also valuable for classroom instructors to help pinpoint the
author's intent in each exercise and to provide a model for
graders. Upon completion of this material, students will have a
working knowledge of MATLAB programming, they will have themselves
programmed algorithms encountered in classwork and textbooks, and
they will know how to check and verify their own programs against
hand calculations and by reference to theoretical results, special
polynomial solutions and other specialized solutions. No previous
programming experience with MATLAB is necessary.
'The numerical algorithms presented are written in pseudocode and
based on MATLAB, a programming and numeric computing platform
widely used in STEM fields. Thus, no formal training in computer
science or knowledge of any specific programming language is needed
to parse the algorithms. Summing up: Recommended.'CHOICEMany
students come to numerical linear algebra from science and
engineering seeking modern tools and an understanding of how the
tools work and their limitations. Often their backgrounds and
experience are extensive in applications of numerical methods but
limited in abstract mathematics and matrix theory. Often enough it
is limited to multivariable calculus, basic differential equations
and methods of applied mathematics. This book introduces modern
tools of numerical linear algebra based on this background, heavy
in applied analysis but light in matrix canonical forms and their
algebraic properties. Each topic is presented as algorithmic ideas
and through a foundation based on mostly applied analysis. By
picking a path through the book appropriate for the level, it has
been used for both senior level undergraduates and beginning
graduate classes with students from diverse fields and backgrounds.
'The numerical algorithms presented are written in pseudocode and
based on MATLAB, a programming and numeric computing platform
widely used in STEM fields. Thus, no formal training in computer
science or knowledge of any specific programming language is needed
to parse the algorithms. Summing up: Recommended.'CHOICEMany
students come to numerical linear algebra from science and
engineering seeking modern tools and an understanding of how the
tools work and their limitations. Often their backgrounds and
experience are extensive in applications of numerical methods but
limited in abstract mathematics and matrix theory. Often enough it
is limited to multivariable calculus, basic differential equations
and methods of applied mathematics. This book introduces modern
tools of numerical linear algebra based on this background, heavy
in applied analysis but light in matrix canonical forms and their
algebraic properties. Each topic is presented as algorithmic ideas
and through a foundation based on mostly applied analysis. By
picking a path through the book appropriate for the level, it has
been used for both senior level undergraduates and beginning
graduate classes with students from diverse fields and backgrounds.
Romemeets Star Trekin this alternate universe depicting the dark
side of everyone's favourite characters. RESTORATION reveals the
rise of Empress Sato. Aided by the power of a starship from the
future, Sato looks to cement her control over the Terran Empire by
forcing the Andorians under her control while simultaneously using
the Terran and Andorian forces to crush the Vulcan rebellion. THE
SORROWS OF THE EMPIRE shows Spock taking control of the Terran
Empire and putting a plan into motion that will bring the Empire to
an end. But it seems that Spock has miscalculated, as a harsher
force emerges to take over and enslave all humans. In THE WORST OF
ALL WORLDS, after a hundred years of domination by the Cardassians
and the Klingons, humans struggle to survive. A man known as
Jean-Luc Picard agrees to take an elderly, doddering scientist,
Noonien Soong, to a planet where he's heard there is a
human-machine hybrid...
This workbook and solutions manual is intended for advanced
undergraduate or beginning graduate students as a supplement to a
traditional course in numerical mathematics and as preparation for
independent research involving numerical mathematics. The solutions
manual provides complete MATLAB code and numerical results for each
of the exercises in the workbook and will be especially useful for
those students without previous MATLAB programming experience. It
is also valuable for classroom instructors to help pinpoint the
author's intent in each exercise and to provide a model for
graders. Upon completion of this material, students will have a
working knowledge of MATLAB programming, they will have themselves
programmed algorithms encountered in classwork and textbooks, and
they will know how to check and verify their own programs against
hand calculations and by reference to theoretical results, special
polynomial solutions and other specialized solutions. No previous
programming experience with MATLAB is necessary.
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