001463209 000__ 04823cam\a22006137i\4500
001463209 001__ 1463209
001463209 003__ OCoLC
001463209 005__ 20230601003310.0
001463209 006__ m\\\\\o\\d\\\\\\\\
001463209 007__ cr\cn\nnnunnun
001463209 008__ 230414s2022\\\\sz\a\\\\o\\\\\000\0\eng\d
001463209 020__ $$a9783030924959$$q(electronic bk.)
001463209 020__ $$a3030924955$$q(electronic bk.)
001463209 020__ $$z9783030924942
001463209 020__ $$z3030924947
001463209 0247_ $$a10.1007/978-3-030-92495-9$$2doi
001463209 035__ $$aSP(OCoLC)1376016441
001463209 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dUKAHL
001463209 049__ $$aISEA
001463209 050_4 $$aQE33.2.M3
001463209 08204 $$a550.151$$223/eng/20230414
001463209 1001_ $$aAwange, Joseph L.,$$d1969-$$eauthor.$$1https://isni.org/isni/0000000110448480
001463209 24510 $$aMathematical geosciences :$$bhybrid symbolic-numeric methods /$$cJoseph L. Awange, Béla Paláncz, Robert H. Lewis, Lajos Völgyesi.
001463209 250__ $$aSecond edition.
001463209 264_1 $$aCham :$$bSpringer,$$c2022.
001463209 300__ $$a1 online resource (1 volume) :$$billustrations (black and white).
001463209 336__ $$atext$$btxt$$2rdacontent
001463209 337__ $$acomputer$$bc$$2rdamedia
001463209 338__ $$aonline resource$$bcr$$2rdacarrier
001463209 500__ $$aPrevious edition: 2018.
001463209 5050_ $$aIntroduction -- Solution of nonlinear systems -- Solution of algebraic polynomial systems -- Homotopy solution of nonlinear systems -- Over and underdeterminated systems -- Nonlinear geodetic equations with uncertainties -- Optimization of systems -- Simulated annealing.
001463209 506__ $$aAccess limited to authorized users.
001463209 520__ $$aThis second edition of Mathematical Geosciences book adds five new topics: Solution equations with uncertainty, which proposes two novel methods for solving nonlinear geodetic equations as stochastic variables when the parameters of these equations have uncertainty characterized by probability distribution. The first method, an algebraic technique, partly employs symbolic computations and is applicable to polynomial systems having different uncertainty distributions of the parameters. The second method, a numerical technique, uses stochastic differential equation in Ito form; Nature Inspired Global Optimization where Meta-heuristic algorithms are based on natural phenomenon such as Particle Swarm Optimization. This approach simulates, e.g., schools of fish or flocks of birds, and is extended through discussion of geodetic applications. Black Hole Algorithm, which is based on the black hole phenomena is added and a new variant of the algorithm code is introduced and illustrated based on examples; The application of the Grbner Basis to integer programming based on numeric symbolic computation is introduced and illustrated by solving some standard problems; An extension of the applications of integer programming solving phase ambiguity in Global Navigation Satellite Systems (GNSSs) is considered as a global quadratic mixed integer programming task, which can be transformed into a pure integer problem with a given digit of accuracy. Three alternative algorithms are suggested, two of which are based on local and global linearization via McCormic Envelopes; and Machine learning techniques (MLT) that offer effective tools for stochastic process modelling. The Stochastic Modelling section is extended by the stochastic modelling via MLT and their effectiveness is compared with that of the modelling via stochastic differential equations (SDE). Mixing MLT with SDE also known as frequently Neural Differential Equations is also introduced and illustrated by an image classification via a regression problem.
001463209 588__ $$aDescription based on print version record.
001463209 650_0 $$aEarth sciences$$xMathematics.
001463209 655_0 $$aElectronic books.
001463209 7001_ $$aPaláncz, Béla,$$d1944-$$eauthor.$$1https://isni.org/isni/0000000079548044
001463209 7001_ $$aLewis, Robert H.,$$d1949-$$eauthor.
001463209 7001_ $$aVölgyesi, Lajos,$$eauthor.$$1https://isni.org/isni/0000000079439032
001463209 77608 $$iPrint version:$$aAwange, Joseph L., 1969-$$tMathematical geosciences.$$bSecond edition.$$dCham : Springer, 2022$$z9783030924942$$w(OCoLC)1328028435
001463209 852__ $$bebk
001463209 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-92495-9$$zOnline Access$$91397441.1
001463209 909CO $$ooai:library.usi.edu:1463209$$pGLOBAL_SET
001463209 980__ $$aBIB
001463209 980__ $$aEBOOK
001463209 982__ $$aEbook
001463209 983__ $$aOnline
001463209 994__ $$a92$$bISE