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on 09-Mar-2017 (Thu)

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Flashcard 1480534134028

Tags
#biochem #biology #cell
Question
Free energy, G, is an expression of [what does it mean?]
Answer
the energy available to do work—for exam- ple, the work of driving chemical reactions


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Free energy, G, is an expression of the energy available to do work—for exam- ple, the work of driving chemical reactions

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Flashcard 1483731242252

Tags
#deeplearning #neuralnetworks
Question
T o analyze ho w man y solutions the equation has, we can think of the columns of A as sp ecifying different directions we can tra v el from the origin (the p oin t sp ecified b y the v ector of all zeros), and determine ho w many wa ys there are of reac hing b . In this view, each element of x [...], with x i sp ecifying how far to mo v e in the direction of column i:
Answer
sp ecifies ho w far we should trav el in eac h of these directions


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we can think of the columns of A as sp ecifying different directions we can tra v el from the origin (the p oin t sp ecified b y the v ector of all zeros), and determine ho w many wa ys there are of reac hing b . In this view, each element of x <span>sp ecifies ho w far we should trav el in eac h of these directions, with x i sp ecifying how far to mo v e in the direction of column :<span><body><html>

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Fixed
La risorsa non si può spostare!

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usato un approccio basato sul modello di macchina virtuale.
Siccome sto spostando codice tra una macchina A e una B diverse.... Una maniera è quella di costruire un ambiente virtuale su entrambe le macchine...

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migration stack: Dal formato della macchina A , A trasforma lo stack del programma in uno stack in formato intermedio (che conoscono entrambi). Si impacchetta e si invia... Poi B che conosce anche esso il formato intermedio, lo trasforma in uno stack per B.

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Mobile agents Agenti progettati per muoversi in un ambiente distribuito...

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Flashcard 1486684032268

Tags
#architetture #elaborazione #programmazione #sistemi
Question
Ci sono due tipi di parallelismo, quali?
Answer
Implicito ed esplicito


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DNA is packaged into chromosomes and at a very simple level these can be considered as being made up of tightly coiled long chains of genes.

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Scalars : A scalar is just a single num ber, in con trast to most of the other ob jects studied in linear algebra, whic h are usually arrays of m ultiple num bers. W e write scalars in italics. W e usually give scalars low er-case v ariable names. When we in tro duce them, w e sp ecify what kind of num b er they are. F or 31 CHAPTER 2. LINEAR ALGEBRA example, w e migh t sa y “Let s ∈ R b e the slop e of the line,” while defining a real-v alued scalar, or “Let n ∈ N b e the num b er of units,” while defining a natural n um b er scalar

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chapter will completely omit many important linear algebra topics that are not essential for understanding deep learning. 2.1 Scalars, Vectors, Matrices and Tensors The study of linear algebra involves several types of mathematical objects: • <span>Scalars : A scalar is just a single number, in contrast to most of the other objects studied in linear algebra, which are usually arrays of multiple numbers. We write scalars in italics. We usually give scalars lower-case variable names. When we introduce them, we specify what kind of number they are. For 31 CHAPTER 2. LINEAR ALGEBRA example, we might say “Let s ∈ R be the slope of the line,” while defining a real-valued scalar, or “Let n ∈ N be the number of units,” while defining a natural number scalar. • Vectors : A vector is an array of numbers. The numbers are arranged in order. We can identify each individual number by its index in that ordering. Typically we give vectors lower ca