Analitička geometrija i linearna algebra. Bodovna vrijednost (ECTS) Elezović, N.: Linearna algebra, Element, Zagreb (više izdanja). desetak. Elezović, N. Check whole offer from author NEVEN ELEZOVIĆ. cart add to wishlist. LINEARNA ALGEBRA – ZBIRKA ZADATAKA – 3. izdanje – neven elezović, andrea aglić. Elezović, Neven. Overview . Matematika 3: zadaci s pismenih ispita by Neven Elezović(Book) Linearna algebra: s 58 crteža by Neven Elezović(Book).

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Hamilton-Cayley’s theorem, Schur’s theorem. Vector and scalar projections of one vector on another Cross product of two vectors and mixed product of three vectors, Radius-vector. Take responsibility for continuing academic development in the field of geodesy and geoinformatics, or related disciplines, and for the development of interest in lifelong learning and further professional education. Status predmeta obvezan 1.

Lecturers in Charge Prof. Year of the study programme First, 1st semester 1. Normed vector space Linear operators and their matrix representation. Grading and evaluating student work in class and at the final exam. Svojstvene vrijednosti i svojstveni vektori. Week by Week Schedule Matrices. Learning outcomes expected at the level of the course 4 to 10 learning outcomes Master the fundamental vector algebra and analytic geometry concepts and apply them in solving tasks; Identify and differentiate between types of second order surfaces; Explain the concepts of matrices and determinants, list their properties and use ellezovi in computations with matrices and determinants; Distinguish methods for solving systems of linear equations and apply the appropriate method to solve a given system; Describe the method of least squares and argue its application in solving tasks; Define the terms of eigenvalues and eigenvectors and know their typical applications; Describe and implement the concepts of diagonalization and orthogonal diagonalization of a matrix.

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Grading Elezov ID Study programme undergraduate, graduate, integrated Bachelor Study 1.

Studijski program preddiplomski, diplomski, integrirani. Recognize the acquired mathematical and numerical skills of analytical geometry and linear algebra in the field of study. Demonstrate competences in theoretical principles, procedures of computing and visualising the surveying data. Hyperspace, half-space Eigenvalues and eigenvectors. Apply knowledge of mathematics and physics for the purpose of recognizing, formulating and solving of problems in the field of geodesy and geoinformatics.

Optional literature at the time of submission of study programme proposal. Recognize the acquired mathematical and numerical skills of analytical geometry and linear algebra in the field of study.

Sažeti opis Analitička geometrija i linearna algebra

Course enrolment requirements and entry competences required for the course Admission requirements: This web site uses cookies to deliver its users personalized dynamic content. Learning outcomes at the level of the programme to which the course contributes Demonstrate competences in theoretical principles, procedures of computing and visualising the surveying data. Pri ponavljanju gradiva na predavanjima. Optional literature at the time of submission of study programme proposal Anton, H.

Basic properties, computation of determinants. Use of acquired mathematical and numerical skills of analytical geometry and linear algebra to solve problems in the field of study.

Required literature available in the library and via other media Title Number of copies in the library Availability via other media Beban Brkic, J. Student responsibilities Regular school attendance. Lecturers in Charge Prof. Dopunska literatura u trenutku prijave prijedloga studijskoga dlezovi Anton, H. Linear Algebra Course Description Vector spaces, linear operators, matrix norms, diagonalization of matrices, stable matrices, quadratic forms, numerical methods.

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Linearna algebra: zbirka zadataka – Neven Elezović, Aglić Andrea – Google Books

Solving linear systems using the Gauss-Jordan reduction. Required literature available in the library and via other media Title Number of copies in the library Availability via other media Beban Brkic, J. Master the fundamental vector algebra and analytic geometry concepts and apply them in solving tasks; Identify and differentiate between types of second order surfaces; Explain the concepts of matrices and determinants, list their properties and use them in computations with matrices and determinants; Distinguish methods for solving systems of linear equations and apply the appropriate method to solve a given system; Describe the method of least squares and argue its application in solving tasks; Define the terms of eigenvalues and eigenvectors and know their typical applications; Describe and implement the concepts of diagonalization and orthogonal diagonalization of a matrix.

Comparison of computational complexity of the Gauss and Cramer algorithms Operations with vectors. Spectral mapping theorem Final exam.

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Learning outcomes expected at the level of the course 4 to 10 learning outcomes. Optional literature at the time of submission of study programme proposal. Take responsibility for ljnearna academic development in the field of geodesy and geoinformatics, or related disciplines, and for the development of interest in lifelong learning and further professional education. Dostupnost putem ostalih medija.