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Science - Mathematics.
概要
作品:
29 作品在 10 項出版品 10 種語言
書目資訊
Numerical methods in engineering and science /
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Mathematical methods in science /
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Numerical solution of partial differential equations in science and engineering /
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Theory and applications of stochastic processes = an analytical approach /
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Mathematical and computational approaches in advancing modern science and engineering
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Contributions to partial differential equations and applications
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Learning scientific programming with Python
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Advanced mathematical methods for scientists and engineers /
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Essential mathematics and statistics for science /
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Advanced Computational Methods in Science and Engineering
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Mathematical analysis of problems in the natural sciences
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On meaningful scientific laws
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Approximation and computation in science and engineering
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Integral methods in science and engineering = applications in theoretical and practical research /
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Mathematical methods for engineering and science
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An introduction to groups and their matrices for science students
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An introduction to groups and their matrices for science students /
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Higher mathematics for science and engineering
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Strengthening the linkages between the sciences and the mathematical sciences
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On the shoulders of giants = a course in single variable calculus /
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Integral Methods in Science and Engineering = Techniques and Applications /
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Linear algebra for engineers and scientists using MATLAB /
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Mathematics and scientific representation /
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Mathematics and scientific representation
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Mathematics for physicists and engineers = fundamentals and interactive study guide /
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Integral methods in science and engineering = theorical and computational advances /
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Learning scientific programming with Python /
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Mathematics of harmony as a new interdisciplinary direction and "golden" paradigm of modern science.. Vol.2,. algorithmic measurement theory, Fibonacci and golden arithmetic and ternary mirror-symmetrical arithmetic /
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Mathematics of harmony as a new interdisciplinary direction and "golden" paradigm of modern science.. Vol.3,. the golden paradigm of modern science : prerequisite for the golden revolution in mathematics, computer science, and theoretical natural scienc /
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Engineering mathematics.
Science- Mathematics.
Differential equations- Numerical solutions.
Appl.Mathematics/Computational Methods of Engineering.
Engineering mathematics- Data processing.
Science- Mathematics
Mathematical and Computational Biology.
Golden section.
Matrices.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Differential equations, Partial- Numerical solutions.
Diffusion processes.
Probability Theory and Stochastic Processes.
Engineering- Data processing.
Science- Data processing.
Applications of Mathematics.
Mathematics
Science- Philosophy.
Integral equations- Numerical solutions.
Numerical Analysis.
Biological Techniques.
Calculus of Variations and Optimization.
General Mathematics.
Numerical analysis.
Science- Statistics.
Interdisciplinary research- United States.
Calculus of variations.
Mechanical Engineering.
Algebras, Linear.
Algorithm Analysis and Problem Complexity.
Python (Computer program language)
SCIENCE / Mathematical Physics.
Algebraic Geometry.
Group theory.
Engineering Mathematics.
Mathematics.
Mathematical Methods in Physics.
Ordinary Differential Equations.
Statistical Physics, Dynamical Systems and Complexity.
Numerical and Computational Physics.
Analysis.
Mathematical physics.
Engineering Fluid Dynamics.
Fibonacci numbers.
Mathematics- History.
Approximation theory.
Number Theory.
Difference equations- Numerical solutions.
Numerical and Computational Methods in Engineering.
Computational Science and Engineering.
Science- Methodology.
Continuum Mechanics and Mechanics of Materials.
Math. Applications in Chemistry.
Data Mining and Knowledge Discovery.
Integral equations.
Mathematical analysis.
Partial Differential Equations.
MATLAB.
Computational Mathematics and Numerical Analysis.
Information and Communication, Circuits.
Engineering- Mathematical models.
Epidemiology.
Mathematical Physics.
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Theoretical, Mathematical and Computational Physics.
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Physics.
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Math Applications in Computer Science.
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Engineering.
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Engineering mathematics
Mathematical Applications in the Physical Sciences.
Theoretical and Computational Chemistry.
Difference and Functional Equations.
Philosophy of Science.
Differential equations, Partial.
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