## Progress in Industrial Mathematics at ECMI 2000Angelo M. Anile, Vincenzo Capasso, Antonio Greco Realizing the need of interaction between universities and research groups in industry, the European Consortium for Mathematics in Industry (ECMI) was founded in 1986 by mathematicians from ten European universities. Since then it has been continuously extending and now it involves about all Euro pean countries. The aims of ECMI are • To promote the use of mathematical models in industry. • To educate industrial mathematicians to meet the growing demand for such experts. • To operate on a European Scale. Mathematics, as the language of the sciences, has always played an im portant role in technology, and now is applied also to a variety of problems in commerce and the environment. European industry is increasingly becoming dependent on high technology and the need for mathematical expertise in both research and development can only grow. These new demands on mathematics have stimulated academic interest in Industrial Mathematics and many mathematical groups world-wide are committed to interaction with industry as part of their research activities. ECMI was founded with the intention of offering its collective knowledge and expertise to European Industry. The experience of ECMI members is that similar technical problems are encountered by different companies in different countries. It is also true that the same mathematical expertise may often be used in differing industrial applications. |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

III | 3 |

IV | 16 |

V | 28 |

VI | 42 |

VII | 53 |

VIII | 55 |

IX | 57 |

X | 63 |

LIX | 325 |

LX | 332 |

LXI | 339 |

LXII | 345 |

LXIII | 347 |

LXIV | 358 |

LXV | 365 |

LXVI | 372 |

XI | 67 |

XII | 73 |

XIII | 75 |

XIV | 80 |

XV | 85 |

XVI | 89 |

XVII | 91 |

XVIII | 96 |

XIX | 105 |

XX | 111 |

XXI | 113 |

XXII | 118 |

XXIII | 126 |

XXIV | 140 |

XXV | 145 |

XXVI | 155 |

XXVII | 157 |

XXVIII | 164 |

XXIX | 169 |

XXX | 174 |

XXXI | 179 |

XXXII | 185 |

XXXIII | 190 |

XXXIV | 195 |

XXXV | 197 |

XXXVI | 204 |

XXXVII | 210 |

XXXVIII | 218 |

XXXIX | 223 |

XL | 225 |

XLI | 230 |

XLII | 237 |

XLIII | 239 |

XLIV | 246 |

XLV | 252 |

XLVI | 258 |

XLVII | 266 |

XLVIII | 272 |

XLIX | 279 |

L | 281 |

LI | 286 |

LII | 293 |

LIII | 299 |

LIV | 301 |

LV | 306 |

LVI | 311 |

LVII | 313 |

LVIII | 318 |

LXVII | 386 |

LXVIII | 399 |

LXIX | 401 |

LXX | 408 |

LXXI | 415 |

LXXII | 420 |

LXXIII | 427 |

LXXIV | 433 |

LXXV | 439 |

LXXVI | 441 |

LXXVII | 446 |

LXXVIII | 451 |

LXXIX | 457 |

LXXX | 459 |

LXXXI | 466 |

LXXXII | 473 |

LXXXIII | 475 |

LXXXIV | 488 |

LXXXV | 493 |

LXXXVI | 499 |

LXXXVII | 506 |

LXXXVIII | 512 |

LXXXIX | 526 |

XC | 532 |

XCI | 537 |

XCII | 544 |

XCIII | 549 |

XCIV | 560 |

XCV | 565 |

XCVI | 571 |

XCVII | 577 |

XCVIII | 584 |

XCIX | 592 |

C | 597 |

CI | 602 |

CII | 608 |

CIII | 613 |

CIV | 618 |

CV | 625 |

CVI | 630 |

CVII | 636 |

CVIII | 641 |

CIX | 646 |

CX | 651 |

CXI | 657 |

CXII | 663 |

### Other editions - View all

Progress in Industrial Mathematics at ECMI 2000 Angelo M. Anile,Vincenzo Capasso,Antonio Greco Limited preview - 2013 |

Progress in Industrial Mathematics at ECMI 2000 Angelo M. Anile,Vincenzo Capasso,Antonio Greco No preview available - 2014 |

Progress in Industrial Mathematics at ECMI 2000 Angelo M. Anile,Vincenzo Capasso,Antonio Greco No preview available - 2010 |

### Common terms and phrases

2DEG agent algorithm analysis applied approach approximation assume asymptotic behaviour Boltzmann Boltzmann equation boundary conditions calculated cellular automata circuit coefficients collision components computational conservation laws consider constant convection crystal defined denote density depends derived described devices differential equations diffusion discrete distribution function domain dynamics ECMI effects electric field electron energy Euler equations evolution experimental finite flow fluid flux frequency given grid heat industry initial input integral interaction interface introduced inverse kinetic lattice Boltzmann method linear lithosphere macroscopic Math mathematical model matrix melt method momentum multiwavelet nonlinear numerical obtained optimization oscillations parameters particle phase phonon Phys physical polymer present problem scale scheme semiconductor sequence shallow water equations simulation solution solve solver space step stochastic stochastic volatility techniques temperature theory Tikhonov regularization tion traffic transport turbidity current values variables vector velocity viscoelastic