Mathematical Optics (eBook, ePUB)

Classical, Quantum, and Computational Methods
Redaktion: Lakshminarayanan, Vasudevan; Alieva, Tatiana; Calvo, María L.

• Format: ePub

Produktbeschreibung

Going beyond standard introductory texts, this well-illustrated book brings together many new mathematical techniques from optical science and engineering research at a level accessible to students and newcomers to the field. The text presents the mathematical formalisms used in wave optics, explores current research and technological advances in plasmonics, and describes the powerful methods of group theory and modern quantum optics. With many examples and exercises, it also covers super-resolution imaging and differential geometric methods in image processing.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 630
• Erscheinungstermin: 8. Oktober 2018
• Englisch
• ISBN-13: 9781351832854
• Artikelnr.: 54535406

Autorenporträt

Vasudevan Lakshminarayanan, María L. Calvo, Tatiana Alieva

Inhaltsangabe

Orbital Angular Momentum of Light: A Ray Optical Interpretation. Wigner
Distributions Moments for Beam Characterization. Dynamic Programming:
Applications in Optics. Basis Expansions for Monochromatic Field
Propagation in Free Space. Solutions of Paraxial Equations and Families of
Gaussian Beams. The Decomposition Method to Solve Differential Equations:
Optical Applications. An Introduction to Mathematics of Transformational
Plasmonics. Plasmonics: Computational Techniques. Lorentz Group in Ray and
Polarization Optics. Paraxial Wave Equation: Lie Algebra-Based Approach.
Dihedral Polynomials. Lie Algebra and Liouville Space Methods in Quantum
Optics. From Classical to Quantum Light and Vice Versa. Coherence Functions
in Quantum Optics. Quantum Memory Channels in Quantum Optics. An
Introduction to Super-Resolution Imaging. The Differential Structure of
Images.