Mathematical & Computational
Mathematical & computational physics examines the use of advanced mathematics and computer-based algorithms to solve complex physical problems. This subject bridges theoretical frameworks and real-world phenomena, offering resources on topics such as differential equations, numerical methods, modeling, and simulation approaches relevant to physics research and application.
Readers seeking to deepen expertise in this area can focus on specific methods or techniques, such as analytical mathematics or computational simulations, to address particular branches of physics. Comparing each area’s methodologies can clarify how they intersect with core physical principles and equip those needing to select a discipline-specific approach or expand their toolkit within the broader physics landscape.
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Mathematical Methods of Theoretical Physics
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Toward Gen Theory of Differential-Operator & Kinetic Model
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Math Feynman Path Integ (2nd Ed)
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Theory of Groups and Symmetries
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Algebraic Structures in Integrability
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Math Journey Through Differential Equations of Physics
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Scale Transitions as Foundations of Physics
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Deep Learning for Physics Research
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A Gentle Introduction to Knots, Links and Braids
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Algebraic Bethe Ansatz and Correlation Functions
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Guide to the Umbral Calculus
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Order, Disorder & Critical (V7)
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Set Theory and Its Applications in Physics and Computing
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Nonlinear Field Theories and Unexplained Phenomena in Nature
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State-Sum Models of Piecewise Linear Quantum Gravity
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Quantum Anharmonic Oscillator
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Density Functionals for Many-Particle Systems
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Finit Temper Field Theo (2nd Ed)
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Finit Temper Field Theo (2nd Ed)
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Group Theory: Finite Discrete Groups and Applications
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The Essence of a Genius: A Tribute to Yoichiro Nambu
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Deep Learning for Physics Research
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The First Adventures on Differential Geometry
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