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However, in systems with an even number of wells, the electron and hole localised in the two central wells, thus giving a smaller binding energy, and so leading to a higher total energy However, for certain calculations, exceptions to the above rule were identified It was found that if there was the slightest asymmetry in the original electron and hole wave functions, we and wh, then the self-consistent iteration repeatedly increased it Such asymmetries in we and wh needed only to be minute in the first instance, and could arise merely from a coarse finite difference mesh; in fact, a difference in the wave function maxima of 1 part in 1010 was enough to have an effect Given these initial conditions, the iteration forcibly broke the symmetry of the electron and hole, thus forcing them to localise in the second well of a four-well system, for example.

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A (Vij : 0^i<l A A (done => ( V i j : s^i<l A s< j<l : a[i] = a[j] . It is straightforward to establish the invariant. The assignment s,l,done := 0, initializes the 'small' and 'large' segments, each to the empty set. (The initialization of done could be to false. Assigning it the value NX I enables us to play safe the specification cannot be satisfied if N = 0.) The bound function is l-s. The loop body need not necessarily decrease l-s. Instead of decreasing l-s, the loop body may truthify done. (Since ->done is the condition for terminating the loop, this can only occur on the final iteration of the loop body.) In order to make progress to the termination condition whilst maintaining the invariant, Hoare made the observation that it is crucial to choose a borderline value that is known to be in the 'medium' segment. Values in the 'medium' segment are indexed by numbers j such that s < j < I. Because 5 < K < I when the loop

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over a finite data set DT ~ fi. When PT > oo, then T > EG- The aim of NN learning is therefore to learn the examples presented in the training set well, while still providing good generalization to examples not included in the training set. It is, however, possible that a NN exhibits a very low training error, but bad generalization due to overfitting (memorization) of the training patterns. The most common measure of accuracy is the mean squared error (MSE), in which case the training error ET is expressed as

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A systematic study of the original multiple quantum wells found that if a very small asymmetry was introduced into the potential profile of the heterostructure (perhaps just one monolayer within the well, having an alloy concentration of 10 5 rather than zero), then it was always enough to spontaneously break the symmetry of the exciton [150], with the result being that the exciton energy always decreased as the number of wells in the system increased A point to note here is the size of the asymmetry necessary in the potential to bring about localisation This is very small and will always be present in even the highest quality semiconductor layers However, in addition, there are many other mechanisms which could bring about the small asymmetry, eg.

1 4: Sorting and Searching Algorithms body is executed, the choice of a[K- 1 ] as borderline value is always appropriate, so this is the one we will choose. (Any value in the 'medium' segment will do, but choosing a[K-l] guarantees termination after exactly one iteration in the fortunate circumstance that the array is already sorted.) Since the loop body may swap the chosen array element with another, it is wise to record this value in some local variable, say X. A crucial property of X, which is immediate from our invariant property, is that all values in the small segment are (strictly) less than X and all values in the large segment are (strictly) greater than X. In summary, the algorithm we are aiming to develop has the basic structure shown below. s, I , done := 0, { Invariant: A (ViJ:(Ki<s A A <Vi,j:0^i<f A A (done => (V ij : s^i <l A s ^j <l : a[i] =a[j])) Bound function: do -<done l-s } { choose borderline value in 'medium' segment } X := a[K-l];

the presence of a single impurity atom, a phonon, or another charge carrier, will all be sufficient to induce a tiny perturbation in either the electron or the hole wave function, which will then influence the final exciton state Once the exciton begins to form, it 'pulls itself up by its own bootstraps' until it is fully localised within one well Therefore, in conclusion, excitons within multiple quantum well systems will (in general) spontaneous localise into just one of the wells It must be noted for the record, however, that the spontaneous symmetry-breaking of excitons in multiple quantum wells has recently been disputed in the literature [151]..

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