Engineering (Mathematical information Engineering)
Engineering (Mathematical information Engineering)
Mathematical Information Engineering Engineering: H29 4th year Summer semester
In the laboratory where we are assigned to, we will continue to read and share all the literature and papers on the field of expertise.
The textbook, known as a fine book of cryptography theory, is used to learn the fundamentals of computational algebra and the construction of public key cryptography and digital signatures, and the safety evaluation (cryptographic decoding).
(Prof. Tsuyoshi Takagi) |
A textbook on data structures for high-speed processing of large amounts of data.
(Prof. Kunihiko Sadakane) |
I study the combinatorial optimization.0. Polytopes and Linear Programming, 1. Matroids and the Greedy Algorithm, 3. Matroid reads intersection.If you can afford 4. Proceed to matching.
(Assoc. Prof. Hiroshi Hirai) |
It is a unique survey paper written from the standpoint of numerical analysis on the adjoint method which appears in various fields such as numerical analysis and control theory.A variety of concepts such as numerical solution, variational, analysis dynamics, sensitivity analysis, and automatic differentiation are seen as one study.
(Prof. Yu Matsuo) |
This is a book that explains the analysis of numerical computation method by the function analytical method.The first is the basis of the function analysis.I will mainly read this first part and learn the basis of the function analysis, and take up some of the subjects related to the numerical calculation method after the midfield when it is possible to deal with time.
(Assoc. Prof. Kenichiro Tanaka) |
We will learn about the introductory content of the major deviation principle which is important in probability theory.
(Prof. Fumiyasu Komaki) |
This is an introduction to statistical causal reasoning.
(Associate Professor Tomoya Kiyoshi) |
Learn about the principles and applications of deep learning.
(Prof. Kenji Shanxi) |
The convergence of stochastic variables in statistics and machine learning is a fundamental concept.Learn more about the convergence of stochastic variables and their applications (central limit theorem, convergence of estimated amounts) through the turn of this document.
(Assoc. Prof. Great Suzuki) |
We introduce algebraic and geometric methods for discrete optimization (integer programming).In particular, reading the first and second chapters, we will learn how to use linear programming, convex optimization, and number geometry in the theory of Integer programming.
(Prof. Satoru Rock) |
Graph theory is one of the standard textbooks.We will study the typical theorem on the degree of coupling, planar graphs, and coloring, and learn about extreme problems if possible in time.
(Associate Professor Shinichi Tanigawa) |
We study algorithms on the Elementary, integer and polynomial rings that are necessary to understand cryptography theory.In particular, we study the algorithm to solve the prime judgment algorithm, factoring algorithm, and discrete logarithm problem.
(Kunihiro Noboru, associate professor) |