Machinery -- Dynamics : Dynamics of machines and mechanisms, industrial research : selected, peer reviewed papers from the 2014 International Mechanical Engineering Congress (IMEC 2014), June 13-15, 2014, Tamil Nadu, India / edited by K.R. Balasubramanian, S.P. Sivapirakasam and R. Anand
2014
1
Machinery -- Dynamics -- Congresses : Dynamics of machines and mechanisms, industrial research : selected, peer reviewed papers from the 2014 International Mechanical Engineering Congress (IMEC 2014), June 13-15, 2014, Tamil Nadu, India / edited by K.R. Balasubramanian, S.P. Sivapirakasam and R. Anand
2014
1
Machining -- Dynamics : Machine tool vibrations and cutting dynamics / Brandon C. Gegg, C. Steve Suh, Albert C.J. Luo
--subdivision Interpretation (Phrasing, dynamics, etc.) under forms and types of musical compositions, e.g. Operas--Interpretation (Phrasing, dynamics, etc.)
The study of systems which respond disproportionately (nonlinearly) to initial conditions or perturbing stimuli. Nonlinear systems may exhibit "chaos" which is classically characterized as sensitive dependence on initial conditions. Chaotic systems, while distinguished from more ordered periodic systems, are not random. When their behavior over time is appropriately displayed (in "phase space"), constraints are evident which are described by "strange attractors". Phase space representations of chaotic systems, or strange attractors, usually reveal fractal (FRACTALS) self-similarity across time scales. Natural, including biological, systems often display nonlinear dynamics and chaos
The study of systems which respond disproportionately (nonlinearly) to initial conditions or perturbing stimuli. Nonlinear systems may exhibit "chaos" which is classically characterized as sensitive dependence on initial conditions. Chaotic systems, while distinguished from more ordered periodic systems, are not random. When their behavior over time is appropriately displayed (in "phase space"), constraints are evident which are described by "strange attractors". Phase space representations of chaotic systems, or strange attractors, usually reveal fractal (FRACTALS) self-similarity across time scales. Natural, including biological, systems often display nonlinear dynamics and chaos